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Showing posts from August, 2024

Tips on Writing Readable Code

Code readability may be defined as the convenience with which the source code is understood and modified. Code readability is of vital importance when maintaining larger legacy codebase and working in teams. If the code is easy to read, it would be easy to debug, refactor, enhance and maintain, thereby reducing the lifecycle cost of software product. As readability directly impacts software quality, researchers have proposed adding a separate phase during development focused on improving code readability. Although, code readability is subjective to human judgement, static analysis tools can provide a fair estimate on various factors impacting readability such as indenting, naming and commenting. As a programmer, follow the tips provided below to create self-documenting software program, which can be understood conveniently by other programmers during it's lifetime.

How to be an Efficient and Highly Productive Software Developer

Becoming a good software developer involves more than just writing code. It requires adopting habits that foster continuous learning, effective problem-solving, collaborating with peers and professional growth. Efficient programmers cultivate habits that not only enhance their productivity but also contribute to the quality and maintainability of their code. Here are some good habits that efficient software developers typically practice : 1. WRITE CLEAN AND READABLE CODE Write Efficient Code:   The efficiency of a programmer is not evaluated by the number of lines of code written but by the quality of code. Good software developers write fewer lines of code and spend time commenting, documenting, testing and refactoring to make it efficient and ensure that it works as per the requirements. Use Consistent Naming Convention: Use meaningful and descriptive names for variables, functions, and classes. Consistent naming helps other developers (and your future self) understand the code bett

Automated Software Fault Localization Tools and Techniques

Software Debugging is the process of identifying and fixing errors / bugs in a faulty program discovered during testing or reported from production. Bugs may be logical errors, runtime errors or syntax errors which can lead to software crashes or incorrect outputs.  The process of debugging involves the following steps: 1. reproduce the failure, 2. locate the bug, 3. identify the root cause, 4. fix the bug, 5. test the fix, and 6. document the process. Software Debugging is extremely time consuming and very expensive, yet essential to i mprove the overall stability, reliability and performance of a software product. The  effectiveness of software debugging depends on developers’ understanding of the program being debugged and how suspicious code containing the bug is identified. During software debugging, fault localization is the process of identifying exact locations of program faults, which is very expensive and time consuming process. Since fault localization is highly tedious, aut

Top AI Code Generation Tools

Software programming is a highly cognitive task requiring specific set of skills and abilities. Developing Artificial Intelligence which can generate source code can greatly help human programmers by augmenting their efforts and time. The current state of the art deep learning approaches have made it possible to train Large Language Models capable of suggesting source code in a human readable format, given basic specification requirements as input.