Categories: Software Quality

I am not sure about the quality of software I delivered?

This is what I got to hear from average software developers across many workshop sessions that I have been undertaking recently in India.

Ask a software developer (on an average) if he could make out whether he has delivered a piece of high quality code for required functionality, and the answer that may be expected is YES.

The second question that you ask is “How do they know that they delivered a high quality piece of code?”. The answer you get is related with defects primarily against the functional requirements. All they say is that their piece of code has not been found with any bug in Dev/QA/UAT & production environment and hence, they are confident of high quality.

Following are some of the areas which were mentioned by software developers, that they consider while thinking about software quality:

1. As less defects as possible
2. Efficient: UI takes less time to load; Note that they tend to ignore about resource utilization aspect
3. Secured

Very less number of developers (on average) were found to consider the non-functional aspects such as following:

1. Reliability: The ability of software to recover; The ability of software to fail gracefully; resilience
2. Operability: Ease of understandability & learnability of software; May also be termed as usability
3. Maintainability: Whethar the software (source code) is maintainable or not;
4. Compatibility: Whethar the software can be integrated with other software systems
5. Portability: Whethar software can be installed and configure on multiple environments

Average software developers were also found to be unaware of some of the following terminologies:

1. Technical debt
2. Code refactoring
3. Code complexity
4. Test coverage
5. Rules compliance
6. Class/method cohesiveness

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning and BI. I would love to connect with you on Linkedin. Check out my books titled as Designing Decisions, and First Principles Thinking.

Recent Posts

The Watermelon Effect: When Green Metrics Lie

We’ve all been in that meeting. The dashboard on the boardroom screen is a sea…

4 days ago

Coefficient of Variation in Regression Modelling: Example

When building a regression model or performing regression analysis to predict a target variable, understanding…

3 months ago

Chunking Strategies for RAG with Examples

If you've built a "Naive" RAG pipeline, you've probably hit a wall. You've indexed your…

3 months ago

RAG Pipeline: 6 Steps for Creating Naive RAG App

If you're starting with large language models, you must have heard of RAG (Retrieval-Augmented Generation).…

3 months ago

Python: List Comprehension Explained with Examples

If you've spent any time with Python, you've likely heard the term "Pythonic." It refers…

3 months ago

Large Language Models (LLMs): Four Critical Modeling Stages

Large language models (LLMs) have fundamentally transformed our digital landscape, powering everything from chatbots and…

6 months ago