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This was a slight deviation to my usual work – I can usually be found writing code that requires more time thinking than it does actual code writing, but this task was quite the opposite, and it got me thinking about what the optimum average number of lines of code written per developer per day is. Is there an optimum number of lines per day?


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How Many Millions of Lines of Code Does It Take?
How many millions of lines of code does it take to make the modern program, web service, car, or airplane possible?
And interestingly, the code behind machines such as fighter jets, popular video game engines, and even the Large Hadron Collider fall somewhere in between these two extremes.
Increasing Complexity A 100 lines of code per day lines of code, if printed, would be about 18,000 pages of text.
This is according to magazine.
That would be 100 lines of code per day stack of paper 2.
The 10 Breakthrough Technologies That Will Define 2019 Which innovations will dominate headlines in 2019?
According to Bill Gates, watch for these 10 breakthrough technologies to change the world.
The 10 Breakthrough Technologies That Will Define 100 lines of code per day Gone are the days of turning stones into spears.
visit web page 10 Breakthrough Technologies 1.
Gut Probe in a Pill These swallowable devices can detect and potentially prevent diseases that cause malnutrition and stunted growth in millions of children worldwide.
Custom Cancer Vaccines Personalized cancer vaccines, targeting only the cancerous cells and leave healthy cells alone, could help ensure faster recovery times and pose fewer risks to patients.
Meat-free Burgers Plant-based and lab-grown will ideally alleviate the environmental impact of the livestock industry.
Smooth-talking AI assistants The AI assistants of the future will have even more human-like conversations to personally engage customers.
Companies would see measurablewith just one breakthrough here garnering a 5% jump in productivity.
Sanitation without sewers Improperly drained sewage causes death in one out of every nine children.
An ECG on the wrist would help reduce the risk of heart disease by monitoring changes and patterns in daily life.
Robot Dexterity Advancements in robotics will enable the natural dexterity required to complete a greater range of tasks, such as helping an ailing loved one out of bed, doing 100 lines of code per day laundry, or building toys.
Predicting Preemies Premature births are the leading cause of death for children under five years old.
A Vision for a Better Future The biggest takeaway?
Seven of the 10 breakthrough technologies stem from the sector.
While several inventions on this list are years away from becoming a reality, they continue to embody the vision and passion that humans share to create and explore.
Visualizing the Importance of Trust to the Banking Industry In the digital age, the issue of trust is emerging as the game-changing factor in how consumers choose financial services brands.
Visualizing the Importance of Trust to the Banking Industry In the digital age, money is becoming less tangible.
Not only is carrying physical 100 lines of code per day more of a rarity, but we are now able to even make contactless payments for many of the products and services we use on the fly.
Our financial transactions are starting to be analyzed and optimized by artificial intelligence.
Meanwhile, investments and bills are paid online, and even checks can now be deposited through our phones.
Who has the time to visit a physical bank these days, anyways?
Trust in the Digital Age The migration of financial services to the cloud is increasing access to banking solutions, while breaking down barriers of entry to the industry.
These events not only damaged institutional reputations, but they elevated trust to become a key concern and selling point for consumers.
Trust, by 100 lines of code per day Numbers In general, trust in banks has been slowly on the rise since hitting a low point in 2011 and 2012.
At the same time, consumers are consistently ranking 100 lines of code per day as a more important factor in their decision of where to bank.
To the modern consumer, trust even outweighs price.
That said, while they are all crucial elements to a service offering, trust may be the most abstract one to try and tackle for companies in the space.
With this in mind, how can financial services leverage tech to increase the amount of trust that consumers have in them?

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Lines of code (LOC) is a simple way to measure programmer productivity. Admittedly it is a flawed metric. As Bill Gates famously said β€œMeasuring programming progress by lines of code is like measuring aircraft building progress by weight”. But it is at least easy to measure. So how much code do programmers average per day?…


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The "MFD per Day Policy List" list below contains the most current MFD values. Maximum Frequency Per Day List The MFD values apply whether a physician, hospital, ambulatory surgical center, or other health care professional submits one CPT or HCPCS code with multiple units on a single claim line or multiple claim lines with one or more


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When, if ever, is "number of lines of code" a useful metric? - Stack Overflow
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I include the UI designer lines of code, plus code created by code generators in my code count for management, so my output ranges from 15 - 5000 /day. If I don't include auto-code then it is 15 - 200 lines per day


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How many lines of code do professional programmers write per hour? - Quora
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Even if programmers do not average 50 lines of code per day, the following is clear 2. Methodology does not explain the apparent productivity gap; No language accounts for the apparent.


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programming productivity - Do professional software developers write an average of 10 lines of code per day? - Skeptics Stack Exchange
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What surprised me was that over a six month period, starting from zero lines of code through to a 40,000 line working app, the number of new lines per day was roughly _linear_ the whole time. We hired a new programmer to help, and the total number of new lines per day went _down_ by about 10%.


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100 English Sentences You Can Use in Conversation

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EFFECTIVE APRIL 28, 2010 **Approximate guide for finding tank & drainfield size** **Tank size must be within one tank size of requirement** * Step # 1 – Find your gallons per day.


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When, if ever, is "number of lines of code" a useful metric? - Stack Overflow
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Is it true that professional software engineers produce only 50 to 100 lines of code per day? - Quora
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Programmers seem to be fairly productive people.
You always see them typing at their desks; they chafe for meetings to finish so that they can go back to their desks and code.
When asked, they will say that there is not enough time to produce the code, and the sooner they can start coding, the sooner they will be done.
So writing code must be the most important thing, correct?
If the average programmer writes about 50 lines of production code 100 lines of code per day day.
A 50,000 line program would take 1,000 man days to produce.
The 50,000 line listing can be entered by a programmer at about 1,000 lines a day or about 50 man days.
So what the heck 100 lines of code per day the developers doing for the other 950 days?
Before addressing that issue, lets make a simple observation.
Even if programmers do not average 50 lines of code per day, the following is clear 2.
If a developer is typing in code all the time then they are really trying different combinations of code until they finally find the combination of code that works.
Or more correctly, the combination that seems to match the requirements until either QA or the business analyst comes back and lets them know there is a problem.
That is why developers that plan their code before using the keyboard tend to outperform other developers.
Not only do only a few developers really plan out their code before coding but also years of experience do not teach developers to learn to plan.
In fact studies over 40 years show that developer productivity does not change with years of experience.
Using PSP has been measured to: PSP can raise productivity by 21.
If your developers at their keyboard and not planning at a white board then odds are that your productivity is not as high as it could be.
Bibliography 1 The The Mythical Man Month is even more pessimistic suggesting that programmers produce 10 production lines of code per https://socialmedialifestylist.info/100/100-no-deposit-bonus-2019.html 2 Jones, Capers and Bonsignour, Olivier.
Opinions expressed by DZone contributors are their own.

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In 10 Lines of Code [Lucio Di Jasio] on Amazon.com. *FREE* shipping on qualifying offers. Mplab Xpress is more than just an Ide in the Cloud. Thanks to its integration with the Mplab Code Configurator it represents a complete and professional rapid development platform.


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Purpose: This report provides a view over time of the average total trouble reports per month per 100 lines, for those telephone companies required to file the ARMIS 43-05 report, i.e., incumbent local exchange carriers subject to elective and mandatory price cap regulation.


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> programmers creating an average of ten lines of production code a > day. That sounds absurdly low when you reflect that it isn't hard > to write hundreds of lines in a single coding session, but it is > quite plausible when you think about it. First of all, > programmers do a lot of things besides just writing code.


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Instead of 1000 lines of code, they produced one line of code to call the service, so lines of code per day paints a very misleading picture in that regard. Lines of code per day might have been applicable in 1975, because everyone was using the same method, performing the same simple tasks.


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Is a million lines of code a lot? How many lines of code are there in Windows? Facebook? iPhone apps? Let our data-visualization program your brain.


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Ask HN: How many lines of code do you deliver every day?
Hacker News 13 points by This read more be a useless question, but I'm curious.
I was reading the comments on another post and someone referred to the fact that they used to produce about 10x as many lines of code when they were at a startup as they do now that they have a corporate job.
I know every programmer and every language is different, but roughly how many lines of code do you deliver every working day, and do you work at a startup or a corporate gig?
Feel free to throw your language in there too :- It's really hard to use a daily LOC measure.
Some days I'll just be cranking out boring stuff, in which case it could easily be 300 lines a day my record was about 1200 lines in the 24 hours before my OS design final project was due.
Other times, I'll remove 90% of those 300 lines because I found a more efficient way to write it.
Still other times will be pure design or research.
That said, here're some long-term averages for projects I've worked on, with total code size divided by project duration.
First professional job, startup, Java Swing, 1200 lines in 2 months.
OS Design final project, college course, C++, 8000 lines in 4 months.
The result didn't really work, though.
Scrutiny, college volunteer project done over vacation, PHP, 761 lines in 2.
Write Yourself a Scheme in 48 hours, part-time hobby project, Haskell, 100 lines of code per day lines in a month not counting time to write up the tutorial.
Same employer, JSF trade-verification webapp.
Gameclay, my own startup, Python + JavaScript.
ArcLite, hobby project but given my full attentionJavaScript.
Tetris, hobby project, JavaScript.
YC startup, 657 lines of JavaScript in 6 days, plus there was some Django and server setup that I didn't count.
Eve, hobby project, Haskell.
Please don't ever ask about "lines of code".
This measurement means absolutely nothing, and I've been programming for over 20 years.
Any responses would be misleading at best.
There are huge programs that should be tiny.
And there are small programs that are so clever that they're unmaintainable, and should be bigger.
There are many ways to show that lines of code won't tell you what's really important about a program or programmer.
Here's the way to phrase it, "How much of your day can you spend working on your projects?
I've had days where I was writing mindless interface code and banged out a couple thousand lines in a day.
The hacks I'm really proud of are the ones that are 300 lines of code that took me two weeks.
It's figuring out what those 300 lines should be that was the interesting part.
Program A has 20 lines of code.
Program B has 20.
Is this absolutely meaningless information?
Bearing in mind that you haven't said anything else at all about either program, I'd have to say yes, absolutely meaningless.
Ok, let's say someone proposes you to maintain either A or B, giving you 10.
You have the right to choose one of the two.
He tells you that the only info he can give you is the lines of code of each program.
If you say, I don't care to know - it's meaningless.
Even worse if you say, I just need the 10.
I mean, at least one info you get is that A is a toy application and B is a big program.
That was a good one.
But somehow it supports my argument, showing that any additional information like how many of the lines are blank brings some new value.
The problem is that unless you have a one man project without a deadline you need some kind of count.
And LOC seems to be the best there is.
Might want to try team velocity, at least if you're on an agile project.
That seems to be a nice balance between the need for metrics and the reality of technology continue reading />Few lines of code means reduced readability - not good for future development.
There has to be balance.
I think LOC is a better measure of complexity than productivity.
Just want to respectfully request everyone to calm just a tad.
I'm well aware of how bad a metric "lines of code" is, but I was still curious :- Optimize for lines of code not written!
Good programmers can optimize this metric by quite a lot -- hence LOC count means absolutely nothing.
It is better to think for a long time about a problem and then only write the 20 lines that solves it rather than throwing 300 lines at the problem and still sit with a flaky solution.
At the moment I am cranking negative lines of code count in the project I am working on.
The code is not that good and can be abstracted quite much, so I am overall removing lines from the code via the rewrite.
Interestingly, there is also the quality of said cranked lines.
It isn't good when the lint tool finds problems or when the code produced just looks damn ugly.
It varies from day to day.
Most days it is somewhere between -500 and 500.
The shortest time interval over which I produce remotely consistent results is a month: Most months I produce -- that is, design, write, and debug -- between 1000 and 1500 lines of code.
This question makes me giggle.
Who the fuck would care about how many LOC they write a day?
I've never even considered this.
Things I care about in my code thanks Kent : Runs all the Tests?
Reveals all the intention?
Fewest number of classes or methods?
Although, I kinda of like this question.
I'm going to add this my list of questions to ask someone in an interview.
Only cause I want to see how many try to answer this with a straight face and how many people giggle.
Not only are you looking up everything on the web when something breaks, but more info are just so many pieces to the puzzle that make good JavaScript hard.
Thank you Douglas Crockford for part one of making JS better, and thank you John Resig for making the second part easier.
In PHP I generally felt really unproductive until I had zend and a debugable server set up.
Closing that loop is hard, and I wish there was a better measure of productivity than LOC.
LOC are not always accurate.
I once rewrote 2,650 lines of C code as a seven line shell script.
The previous programming team had written a data transfer program using their own implementation of ftp.
I just used the one that was already on the computer.
Somewhere between 100 and 150.
Who produces just 10 lines?
Are you just looking at your monitor and 100 lines of code per day dreaming or what?
I just wrote 100 lines of code per day lines of text right now in like 2 minutes.
Yesterday I probably wrote 8 or 9 lines of code.
That was all the problem at hand required.
However, getting to that 8 or 9 lines of code took hours of conversation with various people as well as a few more hours of research, fact-checking and bench-marking.
Last week I had a day where I probably generated 25,000 lines of code.
The generator probably took up 400 or so lines itself.
Because I wrote the generator, do I get to say that I created the 25k lines?
The small amount of code I wrote yesterday was vastly more important that the generated code I wrote last week.
Which day was more valuable?
Lines of code is a worthless measure.
And I don't think that's an inaccurate description of the corporate development process: even in a startup, working with a team of 4 people, I spent more time than I would've liked on the above activities.
I just wrote 5 lines of text right now in like 2 minutes.
Doesn't seem like much of a comparison.
Sure, I could write hundreds of lines of code in a few hours or thousands of lines of text if my goal was to produce volume.
But if my goal is to improve a complex program, it might take 8 hours to complete a 10 LOC change.
A lump of bash ish scripts for doing auto deployment is after 9 weeks average around 130 lines added a 100 lines of code per day and around 4 removed.
Interesting the peak is article source lines, and the lowest is 1.
Any good implementation of asoftware feature is inversely proportional to the number of lines of code.
If you where about to meassure out your.
You'd do it in inches.
Though it will tell go here nothing about performance, it'll still be a form of meassurment.
Let the man be proud of his size!

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I'm sure I read some time ago that the actual productivity for producing software is between 3 and 5 SLOC (Source Lines of Code) per day per programmer for new lines of code, fully tested, reviewed and documented.


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THE AMAZING TRIPLE SPIRAL (15,000 DOMINOES)

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What surprised me was that over a six month period, starting from zero lines of code through to a 40,000 line working app, the number of new lines per day was roughly _linear_ the whole time. We hired a new programmer to help, and the total number of new lines per day went _down_ by about 10%.


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Ask HN: How many lines of code do you deliver every day? | Hacker News
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Ask HN: How many lines of code do you deliver every day?
Hacker News 13 points by This might be a useless question, but I'm curious.
I was reading the comments on another post and someone referred to the fact that they used to produce about 10x as many lines of code when they were at a startup as they do now that they have a corporate job.
I know every programmer and every language is different, but roughly how many lines of 100 lines of code per day do you deliver every working day, and do you work at a startup or a corporate gig?
Feel free to throw your language in there too :- It's really hard to use a daily LOC measure.
Some days I'll just be cranking out boring stuff, in which case it could easily be 300 lines a day my record was about 1200 lines in the 24 hours before my OS design final project was due.
Other times, I'll remove 90% of those 300 lines because I found a more efficient way to write it.
Still other times will be pure design or research.
That said, here're some long-term averages for projects I've worked on, with total code size divided by project duration.
First professional job, startup, Java Swing, 1200 lines in 2 months.
OS Design final project, college course, C++, 8000 lines in 4 months.
The result didn't really work, though.
Scrutiny, materials for 100 slot cube quest aion volunteer project done over vacation, PHP, 761 lines in 2.
Write Yourself a Scheme in 48 hours, part-time hobby project, Haskell, 400 lines in a month not counting time to write up the tutorial.
Same employer, JSF trade-verification webapp.
Gameclay, my own startup, Python + JavaScript.
ArcLite, hobby project but given my full attentionJavaScript.
Tetris, hobby project, JavaScript.
YC startup, 657 lines of JavaScript in 6 days, plus there was some Django and server setup that I didn't count.
Eve, hobby project, Haskell.
Please don't ever ask about "lines of code".
This measurement means absolutely nothing, and I've been programming for over 20 years.
Any responses would be misleading at best.
There are huge programs that should be tiny.
And there 100 ladybugs machine small programs that are so clever that they're unmaintainable, and should be bigger.
There are many ways to show that lines of code won't tell you what's really important about a program or programmer.
Here's the way to phrase it, "How much of your day can you spend working on your projects?
I've had days where I was writing mindless interface code and banged out a couple thousand lines in a day.
The hacks I'm really proud of are the ones that are 300 lines of code that took me two weeks.
It's figuring out what those 300 lines should be that was the interesting part.
Program A has 20 lines of code.
Program B has 20.
Is this absolutely meaningless information?
Bearing in mind that you haven't said anything else at all about either program, I'd have to say yes, absolutely meaningless.
Ok, let's say click here proposes you to maintain either A or B, giving you 10.
You have the right to choose one of the two.
He tells you that the only info he can give you is the lines of code of each program.
If you say, I don't care to know - it's meaningless.
Even worse if you say, I just need the 10.
I mean, at least one info you get is that A is a toy application and B is a big program.
That was a good one.
But somehow it supports my argument, showing that any additional information like how many of the lines are blank brings some new value.
The problem is 100 slots minecraft server hosting 24/7 unless you have a one man project without a deadline you need some kind of count.
And LOC seems to be the best there is.
Might want to try team velocity, at least if you're on an agile project.
That seems to be a nice balance between the need for metrics and the reality of technology solutions.
Few lines of code means reduced readability - not good for future development.
There has to be balance.
I think LOC is a better measure of complexity than productivity.
Just want to respectfully request everyone to calm just a tad.
I'm well aware of how bad a metric "lines of code" is, but I was still curious :- Optimize for lines of code not written!
Good programmers can optimize this metric by quite a lot -- 100 lines of code per day LOC count means absolutely nothing.
It is better to think for a long time about a problem and then only write the 20 lines that 100 lines of code per day it rather than throwing 300 lines at the problem and still sit with a flaky solution.
At the moment I am cranking negative lines of code count in the project I am working on.
The code is not that good and can be abstracted quite much, so I am overall removing lines from the code via the rewrite.
Interestingly, there is also the quality of said cranked lines.
It isn't good when the lint tool finds problems or when the code produced just looks damn ugly.
It varies from day to day.
Most days it is somewhere between -500 and 500.
The shortest time interval over which I produce remotely consistent results is a month: Most months I produce -- that is, design, write, and debug -- between 1000 and 1500 lines of code.
This question makes me giggle.
Who the fuck would care about how many LOC they write a day?
I've never even considered this.
Things I care about in my code thanks Kent : Runs all the Tests?
Reveals all the intention?
Fewest number of classes or methods?
Although, I kinda of like this question.
I'm going to add this my list of questions to ask someone in an interview.
Only cause I want to see how many try to answer this with a straight face and how many people giggle.
Not only are you looking up everything on the web when something breaks, but there are just so many pieces to the puzzle that make good JavaScript hard.
Thank you Douglas Crockford for part one of making JS better, and thank you John Resig for making the second part easier.
In PHP I generally felt really unproductive until I had zend and a debugable server set up.
Closing that loop is hard, and I wish there was a better measure of productivity than LOC.
LOC are not always accurate.
I once rewrote 2,650 lines of C code as a seven line shell script.
The previous programming team had written a data transfer program using their own implementation of ftp.
I just used the one that was already on the computer.
Somewhere between 100 and 150.
Who produces just 10 lines?
Are you just looking at your monitor and day dreaming or what?
I just wrote 5 lines of text right now in like 2 minutes.
Yesterday I probably wrote 8 or 9 lines of code.
That was all the problem at hand required.
However, getting to that 8 or 9 lines of code took hours of conversation with various people as well as a few more hours of research, fact-checking and bench-marking.
Last week I had a day where I probably generated 25,000 lines of code.
The generator probably took up 400 or so lines itself.
Because I wrote the generator, do I get to say that I created the 25k lines?
The small amount of code I wrote yesterday was vastly more important that the generated code I wrote last week.
Which day was more valuable?
Lines of code is a worthless measure.
And I don't think that's an inaccurate description of the corporate development process: even in a startup, working with a team of 4 people, I spent more time than I would've liked on the above 100 lines of code per day />I just wrote 5 lines of https://socialmedialifestylist.info/100/agen-sbobet-terpercaya-bonus-100.html right now in like 2 minutes.
Doesn't seem like much of a comparison.
Sure, I could write hundreds of lines of code in a few hours or thousands of lines of text if my goal was to produce volume.
But if my goal is to improve a complex program, it might take 8 hours to complete a 10 LOC change.
A lump of bash ish scripts for doing auto deployment is after 9 weeks average around 130 lines added a day and around 4 removed.
Interesting the peak is 1201 lines, and the lowest is 1.
Any good implementation of asoftware feature is inversely proportional to the number of lines of code.
If you where about to meassure out your.
You'd do it in inches.
Though it will tell you nothing about performance, it'll still be a form of meassurment.
Let the man be proud of his size!

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Is it true that professional software engineers produce only 50 to 100 lines of code per day? - Quora
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I know, it's a stupid metric, but in a discussion with another Arsian the topic of lines of code per day came up. Thinking about it, I reckoned the average developer can do 300 - 500 lines of code.


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I heard of a study recently that concluded inexperienced and experienced programmers write about the same number of lines of code per day.
The difference is that experienced programmers keep more of those lines of code, making steady progress toward a goal.
Less experienced programmers write large chunks of code only to rip them out and rewrite the same chunk many times until the code appears to work.
Or instead of ripping out the code, they debug for days on end, changing one or two lines at a time, almost at random, until the code appears to work.
As pointed out in his interview, focusing on quality in software development often results in increased productivity as 100 lines of code per day read article effort goes into forward progress and less goes into re-work.
Not only do experienced programmers produce more lines of code worth keeping each day, they also accomplish more per line of code, sometimes dramatically more.
There have also been studies that show programmers produce about the final, bonus deposit 100 untuk member baru poker have number of lines of code per day independent of the language they use.
It seems that while counting lines of code is a terrible way to measure productivity, it is a good way to measure what you can expect someone to be able to hold in their head.
Great article and I concur.
This provides better stability and high quality.
What about agile development where you wrote loads of code then refactor alot.
And i really think you need to be an experienced programmer to be good in agile methodology.
As someone who has been writing code for 30 years now, I can say very strongly that there is no comparability of the code I write with, say, someone who has only been writing code for 2 or 3 years.
I strive for clarity and succinctness in my code, as well as clean structures and object models to better reflect the problems at hand.
One less experienced may not be as comfortable with certain algorithmic approaches, and may choose a brute-force method instead of something more elegant and time-saving.
But counting lines of code would miss all of this.
Do comments count as lines of code?
True Productivity 100 lines of code per day be 100 lines of code per day easily or quickly.
You must include the business model at some point.
How much overall time was saved, how much money was saved or made, how much maintenance or downtime was involved, what was the load on Customer Service, etc.
These all become factors in True Productivity, and you can chuck the number of lines out the window.
Once, just for fun, I wrote a script that looked through the version control repository and pulled out the number of new lines of code per day.
I was the sole developer, and the line count was a brute force thing that just measured the number of lines in a file.
So sometimes lines per day is an interesting measure of programmer productivity contrary to Freds statement above.
We were using Extreme Programming, so had other measures like Velocity which is much more customer focussed.
Maybe this was a special case?
A recent Usenet post I saw made an interesting point on this subject.
It said it takes about three times as long not to write a line of code as to write one.
So for example, doing something in 100 lines of APL might take a week.
Doing it in 50 lines of APL might well take two weeks, so writing the 50 lines please click for source 0.
The fact that programming can produce anomalies like this makes trying to measure programmer productivity a real black art.
How do you handle it when the very best programmers can improve your software by producing negative LoC?
LOC simply indicates how big the program is or how far along into the job has to go.
In a way lines 100 lines of code per day code is the input and the output are the bugs that have to be dealt with which as you may know from Mythical Man can take up more of the time than anything else.
The defects found at unit testing, integration testing, and system testing are the other telling factors on the quality of the code and of the programmer at their job.
In a nutshell, I agree with the original premise.
Sometimes you have to take it with a large grain of salt.
Thinking about it a bit more, a good measure of quality and performance could be a ratio of defects per lines of code.
That way its normalized to compare developers of all experiences and speed.
In agile development, in the means described by Eimantas, where refactoring is big part of process a experienced, talented coder can write more finished quality code from the beginning, and produces way higher 100 lines of code per day end result.
But we have to remember that coder has to have the insight to produce a nicely written, easy to read and understand code, structured well.
Many, even exceptionally skilled otherwise, lack this fundamental understanding.
Writing as few lines as possible is the worst excuse ever for complicated code.
John is absolutely correct, LOC is very very bad measurement of progress.
You 100 lines of code per day do amazingly a lot with amazingly few lines, while still having easy to understand, simple code, in a bigger more complex system where you can re-use your methods a lot of times, with a good hierarchy and design on the system.
Look at iEstimator, in iPhone store better version out soonto see how these factors are used to estimate software 100 lines of code per day durations.
We can confirm that: 1.
Experience comes after having experience.
Experienced programmer are not born as programmer but are after several times experiencing failure, writing not necessary codes etc which in fact are the principals of learning.
No one can claim is an experienced programmer https://socialmedialifestylist.info/100/diablo-3-100-bonus-xp.html this attribute, experienced, is unmeasurable in definition.
FYI you did not invent agility.
I dare you to build anything WITHOUT process refinement.
In other words, non-agile development is impossible.
You might find it in Code Complete by Steve McConnell.
In the beginning I had a high throughput of code and generated little value.
On a side note, I find it laughable and very unfortunate that the common perception labels aged programmers as slow compared to their younger colleagues.
In software engineering the only usable metric is the result, which experienced programmers produce in larger quantities even if with less lines of code.
What makes the code longer is that the chunks being put in the source code.
If your not good at object-oriented programming you will tend to repeat the coding with same algorithms.
LOC is very vital in program speed and performance.
Having a code that is not repetitive is a sign of good coder.
For me, the line of code is not a measurement of programmers productivity it is how efficient the algorithm being used in the development of the program.
Most often experienced programmers tend to write more code because they were not able to define the right algorithm to solve the problem of their program.
The shorter the line of code more efficient the program in terms of speed and execution.
All they wanted is a program to solve their needs especially in the organization they are connected with.
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Yesterday I probably wrote 8 or 9 lines of code. That was all the problem at hand required. However, getting to that 8 or 9 lines of code took hours of conversation with various people as well as a few more hours of research, fact-checking and bench-marking. Last week I had a day where I probably generated 25,000 lines of code.


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A military drone has 3.5 million lines of code inside. That’s roughly three times as many as we find in bacteria, meaning that mankind has, at least by one metric, constructed semi-autonomous.


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Some people claim that code's worst enemy is its size, and I tend to agree.
Question: When is " lines of code" useful?
I'd say it's when you're removing code to make the project run better.
Saying you removed "X number of lines" is impressive.
And far more helpful than you added lines of code.
Swallowed my carriage returns.
I just put two declarations into one line.
For example, refactoring some legacy code for a client, I was able to cut the number of lines in their app's main form in half and 100 lines of code per day includes adding comment blocks to the refactored methods.
I guess that also counts as bragging.
Thanks for using boldface.
It is still trivial to manipulate and therefore is not a very useful metric.
The quote is from an article called "".
It's a terrible metric, but as other people have noted, it gives you a very rough idea of the overall complexity of a system.
If you're comparing two projects, A and B, and A is 10,000 lines of code, and B is 20,000, that doesn't tell you much - project B could be excessively verbose, or A could be super-compressed.
On the other hand, if one project is 10,000 lines of code, and the other is 1,000,000 lines, the second project is significantly more complex, in general.
The problems with this metric come in when it's used to evaluate productivity or level of contribution to some project.
If programmer "X" writes 2x the number of lines as programmer 'Y", he might or might not be contributing more - maybe "Y" is working on a harder problem.
Even more than a harder problem, "Y" might be writing better code for the SAME problem that is a lot more DRY and maintainable.
Asking the interviewer how many KLOC approx.
So the short answer is: never except for the line printer, that's funny!
Who prints out programs these days?
An example: Imagine that you're unit-testing continue reading refactoring legacy code.
It starts out with 50,000 lines of code 50 KLOC and 1,000 demonstrable bugs failed unit tests.
Clearly this is terrible code!
Now, several iterations later, you have reduced the known bugs by half and the unknown bugs by more than that most likely and the code base by a factor of five through exemplary refactoring.
Which is apparently even worse!
And yet no features have been added across several iterations, while competitor's products are rapidly evolving, leaving your company with little hope of enticing further investment.
To paraphrase link quote I read about 25 years ago, "The problem with using lines of code as a metric is it measures the complexity of the solution, not the complexity of the problem".
I believe the quote is from David Parnas in an article in the Journal of the ACM.
Answer: when you can talk about negative lines of code.
As in: "I removed 40 extraneous lines of code today, and the program is still functioning this web page well as before.
Lines of code is the most used and is the easiest to understand.
I am surprised how often the lines of code metric correlates with the other metrics.
In stead of buying a tool that can calculate cyclomatic complexity to discover code smells, I just look for the methods with many lines, and they tend to have high complexity as well.
A good example of use of lines of code is in the metric: Bugs per lines of code.
It can give you a gut feel of how many bugs you should expect to find in your project.
In my organization we are usually around 20 bugs per 1000 lines of code.
This means that if we are ready to ship a product that has 100,000 lines of code, and our bug database shows that we have found 50 bugs, then we should probably do some more testing.
If we have 20 bugs per 1000 lines of code, then we are probably approaching the quality that we usually are at.
A bad example of use is to measure developer productivity.
more info you measure developer productivity by lines of code, then people tend to use more lines to deliver less.
I'd agree that taking the total number of lines of code in a project is one way to measure complexity.
It's certainly not the only measure of complexity.
For example debugging a 100 line obfuscated Perl script is much different from debugging a 5,000 line Java project with comment templates.
But without looking at the source, you'd usually think more lines of code is more 100 bonus xp diablo 3, just as you might think a 10MB source tarball is more complex than a 15kb source tarball.
It is useful in many ways.
I don't remember 100 lines of code per day exact but Microsoft had a web cast that talked about for every X lines of code on average there are y number of bugs.
You can take that statement and use it to give a baseline for several things.
Another thing we look at is, why is it so many lines?
Often times when a new programmer is put in a jam they will just copy and paste chunks of code instead of creating functions and encapsulating.
I think that the I wrote x lines of code in a day is a terrible measure.
It take no account for difficulty of problem, language your writing in, and 100 lines of code per day on.
The statistic was published in the Software Engineering Institute's Process Maturity Profile of the Software Community: 1998 Year End Update.
A survey of about 800 software development teams or shops, I don't remember led to a finding that there are, on average, 12 defects per 1000 lines of code.
The limit is probably very similar for the average programmer.
Therefore, if you know your project has 2 million lines of code, and your programmers can be expected to be able to understand whether or not a bug is related to the 5K lines of code they know well, then you know you need to hire 400 programmers for your code base to be well covered from someone's memory.
This will also make you think twice about growing your code base too fast and might get you thinking about refactoring it to make it more understandable.
Note I made up these numbers.
It's a metric of productivity, as well as complexity.
Like all metrics, it needs to be evaluated with care.
A single metric usually is not sufficient for a complete answer.
IE, a 500 line program is not nearly as complex as a 5000 line.
Now you have to ask other questions to get a better view of the program.
I would call this into question.
There's plenty of ways to code, for example, in Python, where you can fit at least five different lines of code into one line of code.
There's also differences between whether you need to build your own function or use pre-existing stuff.
It really is subjective.
A 5000 line program may just be a very badly written 500 line program.
I've seen plenty of examples of this.
That's more info it, and definitely the context I'm seeing in all three of those examples.
Lines of code are useful to know when you're wondering if a code file is getting too large.
This file is now 5000 lines of code.
Maybe I should refactor this.
I wrote 2 blog post detailling the pro and cons of counting Lines of Code LoC : : The idea is to explain that you need to count the logical number of lines of code instead of a physical count.
To do so you can use tools like for example.
The Software Engineering Institute's Process Maturity Profile of the Software Community: 1998 Year End Update which I could not find a link to, unfortunately discusses a survey of around 800 software development teams or perhaps it was shops.
The average defect density was 12 defects per 1000 LOC.
If you had an application with 0 defects it doesn't exist in reality, but let's suppose and wrote 1000 LOC, on average, you can assume that you just introduced 12 defects into the system.
If QA 100 lines of code per day 1 or 2 defects and that's it, then they need to do more testing as there are probably 10+ more defects.
When you are refactoring a code base and can show that you removed lines of code, and all the regression tests still passed.
Lines of code isn't so useful really, and if it is used as a metric by management it leads to programmers doing a lot of refactoring to boost their scores.
In addition poor algorithms aren't replaced by neat short algorithms because that leads to negative LOC count which counts against you.
When the coder doesn't know you are counting lines of code, and so has no reason to deliberately add redundant code to game the system.
And when everyone in the team has a similar coding style so there is a known average "value" per line.
And only if you don't have a better measure available.
There are also different ways to count SLOC.
From the wikipedia article: There are two major types of SLOC measures: physical SLOC and logical SLOC.
Another good resource: As most people have already stated, it can be an ambiguous metric, especially if you are comparing people coding in different languages.
The least "defects" the better the software; It is nearly impossible to remove all defects.
In many occasions, centrebet free bet code single defect could be harmfull and fatal.
However, it does not seem that nondefective software exists.
When determining level of effort LOE.
If you are putting together a proposal and you will have the roughly the SAME engineers working on the new project, then you might be able to determine how many engineers are needed for https://socialmedialifestylist.info/100/free-100-slot-teamspeak-server.html long.
If the project is substantially the same, one would expect it to take less time, as much of the code code be reused.
If the project is substatially different, then it is an apples to oranges compare.
The idea that programmer X churns out Y lines of code per unit of time is simply false.
There is a lot more to development that coding.
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