Is SLOC a good metric?
Table of Contents
- 1 Is SLOC a good metric?
- 2 How is computational complexity measured?
- 3 What is SLOC army?
- 4 How is the LOC or SLOC metric used in the software development process that is what does SLOC tell you about software that is being developed?
- 5 What are the disadvantages of using LOC as a metric for carrying out project estimations?
- 6 What are the advantages and disadvantages of using LOC as key measure?
- 7 Is SLOC count a good metric to measure code quality?
- 8 Why is SLOC important in software testing?
Is SLOC a good metric?
SLOC is an absolutely terrible metric, but that doesn’t mean that there aren’t relevant ones.
How is computational complexity measured?
In some algorithms, the complexity can be measured by the time that the CPU needs to run the algorithm, others consider the computational complexity as the number of nested loops (for loops and others) per run and can be written as O(x), where x is your nested loops.
What are the major shortcomings of SLOC?
Disadvantages
- Lack of accountability: lines-of-code measure suffers from some fundamental problems.
- Lack of cohesion with functionality: though experiments have repeatedly confirmed that while effort is highly correlated with LOC, functionality is less well correlated with LOC.
What is Github SLOC?
SLOC stands for Source Lines of Code – the number of logical lines of code in the file (as opposed to the number of physical lines).
What is SLOC army?
Sea lines of communication (abbreviated as SLOC) is a term describing the primary maritime routes between ports, used for trade, logistics and naval forces. It is generally used in reference to naval operations to ensure that SLOCs are open, or in times of war, to close them.
How is the LOC or SLOC metric used in the software development process that is what does SLOC tell you about software that is being developed?
Source lines of code (SLOC or LOC) is a software metric used to measure the size of a software program by counting the number of lines in the text of the program’s source code.
Which complexity is used to measure the complexity of an algorithm?
To express the time complexity of an algorithm, we use something called the “Big O notation”. The Big O notation is a language we use to describe the time complexity of an algorithm. It’s how we compare the efficiency of different approaches to a problem, and helps us to make decisions.
What is computational complexity analysis?
In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it. The study of the complexity of explicitly given algorithms is called analysis of algorithms, while the study of the complexity of problems is called computational complexity theory.
What are the disadvantages of using LOC as a metric for carrying out project estimations?
Drawbacks of LOC
- It is defined on code. For example it cannot measure the size of specification.
- It characterise only one specific view of size, namely length, it takes no account of functionality or complexity.
- Bad software design may cause excessive line of code.
- It is language dependent.
- Users cannot easly understand it.
What are the advantages and disadvantages of using LOC as key measure?
As Lines of Code (LOC) only counts the volume of code, you can only use it to compare or estimate projects that use the same language and are coded using the same coding standards….Disadvantages :
- Increases productivity while writing more lines of code.
- Less efficient code.
- It doesn’t consider complexity.
What is SAP SLoc?
Definition. Storage Location. An organizational unit allowing the differentiation of material stocks within a plant. All data referring to a particular storage location is stored at storage location level. This applies mainly to storage location stocks.
When you create a reservation for your SLoc?
When you create a reservation for your SLoc, what document does the system create after the MRP process? Both to display a list of Purchase orders for Provisions and to display a list of purchase orders for stock.
Is SLOC count a good metric to measure code quality?
I believe SLOC is a great metric. It tells you how large your system is. That is good for judging complexity and resources. And it helps you prepare the next developer for working on a codebase. But SLOC count should be analyzed only AFTER other appropriate code quality metrics have been applied.
Why is SLOC important in software testing?
Explain that SLOC is an excellent measurement of the lines of code in the application, nothing else. The number of lines in a book, or the length of a film doesn’t determine how good it is. You can improve a film and shorten it, you can improve an application and reduce the lines of code.
How to estimate the SLOC of a system?
A SLOC estimate of a software system can be obtained from experience, the size of previous systems, the size of a competitor’s system, and breaking down the system into smaller pieces and estimating the SLOC of each piece. [4] Putnam suggests that for each piece, three distinct estimates should be made:
Does the number of SLOCs affect quality?
(But SLOC count does not affect quality, performance, usability, and conformance to specification.) And always code like the person who will be working on your code next is a violent psychopath who knows where you live. even modern code metrics tools criticize SLOC conting, i like the point made in the ProjectCodeMeter FAQ: