What is Software Quality? and How to achieve it? – Testbytes

The relevancy of Software quality in modern times is increasing like anything. Nowadays software development companies are more focussed on deploying new codes into production even on an hourly basis without any proper software testing.  That’s creating a chaotic environment in the market.
People often fail to understand that speed has minimal value if there is no quality. let’s learn how to ensure software quality in every build
What is software quality?
The quality of software can be defined as the ability of the software to function as per user requirement.  When it comes to software products it must satisfy all the functionalities written down in the SRS document.
Key aspects that conclude software quality include,

• Good design – It’s always important to have a good and aesthetic design to please users
• Reliability – Be it any software it should be able to perform the functionality impeccably without issues
• Durability- Durability is a confusing term, In this context, durability means the ability of the software to work without any issue for a long period of time.
• Consistency – Software should be able to perform consistently over platform and devices
• Maintainability – Bugs associated with any software should be able to capture and fix quickly and news tasks and enhancement must be added without any trouble
• Value for money – customer and companies who make this app should feel that the money spent on this app has not fone to waste.

ISO/IEC 25010:2011 Software Quality Model

What is Software Quality Model?
Software quality models were proposed to measure the quality of any software model.
There are three widely accepted models  when it comes to measuring software quality

• McCall’s Quality Model
• Boehm quality model
• Dromey’s quality model

Mc call’s Model
Mc Call’s model was first introduced in the US Airforce in the year 1977.  The main intention of this model was to maintain harmony between users and developers.

Boehm Quality Model
Boehm model was introduced in the year 1978. It was a kind of hierarchical model that’s structured around high-level characteristics.  Boehm model measures software quality on the basis of certain characteristics.

Dromey’s quality model
Dromey’s model is mainly focussed on the attributes and sub-attributes to connect properties of the software to the quality attributes
There are three principal elements to this model

• Product properties that affect the quality
• High-level quality attributes
• Linking the properties with quality attributes

How can software engineers acquire software quality?

•  Management plan – Have a clear idea about how the quality assurance process will be carried out through the project. Quality engineering activities required should also be set at the beginning along with team skill check.
• Proper checkpoints – Checkpoints at required intervals should be set

How do we achieve Software quality?
Achieving quality will ensure maximum profit for your software business. But the biggest hurdle is to achieve quality and here are some of the ways.

• Define characteristics that define quality for a product
• Decide how to measure each of that quality characteristic
• Set standards for each quality characteristic
• Do quality control with respect to the standards
• Find out the reasons that are hindering quality
• Make necessary improvements

Read also: Why Quality assurance is shifting to quality engineering?
What are software quality metrics?
In any software project, you can go on building the code but at some point, you need to take a break and check if the work you are doing is right, if the process you followed is correct and so on. Metrics help you in exactly that.
Metrics are pointers or numbers which help you understand the attributes of a product, (like its complexity, its size, it’s quality, etc.), the attributes of the process (which can be used to improve the quality and speed of development) and the attributes of the project (which includes the number of resources, costs, productivity and timeline among others), popularly known as the three P’s.
Why are software quality metrics important?
Software quality metrics are an indicator of the health of the product, process, and project. Good metrics with accurate data can help in

• Developing a strategy and giving the right direction to the process/project
• Recognizing the areas of focus
• Making strategic decisions
• Driving Performance and many others.

Important Software Quality Metrics
For any metrics to truly serve the purpose, there are 2 parts. One is the data accuracy and the second is metrics selection.
All metrics will not be suitable for all processes and projects. So the selection of the metrics needs to be done carefully.
Let us now look at some very important and most commonly used Software Quality Metrics and how they are helpful in driving a better code

1. Defect Density

The first measure of the quality of any products is the number of defects found and fixed. Though there a many “conditions apply” cases this is the first ballpark estimate of the quality of the software.
The more the number of defects found, would be the quality of development is poor. So the management should strive hard to improve development and do an RCA (Root Cause Analysis) to find why the quality is taking the hit.
Defect Density = No. of Defects Found / Size of AUT or module

2. Defect Removal Efficiency (DRE)

This is an important metric for assessing the effectiveness of a testing team. DRE is an indicator of the number of defects the tester or the testing team was able to remove from going into a production environment. Every quality team wants to ensure a 100% DRE.
DRE = A/(A+B) x 100
A – number of defects found before production
B – Number of defects found in production

3. Meantime between failures (MTBF)

As the name suggests it is the average time between two failures in a system. Based on the AUT and expectation of business the definition of failure may vary.
For any online website or mobile application crash or disconnection with the database could be the expected failure. No team can produce software that never breaks or fails, so the onus is always to increase the MTBF as much as possible, which means that in a time frame the number of times the applications fail should be reduced to an acceptable number.

4. Meantime to recover (MTTR)

This again is quite self-explanatory. The mean time to recover is basically the time it takes for the developers to find a critical issue with the system, fix it and push the fix patch to production. Hence the average time which the team needs to fix an issue in production. It is more of maintenance contract metrics, where an MTTR of 24 hours would be preferred over an MTTR of 2 days for obvious reasons.

5. Application Crash Rate

Important metrics especially for mobile apps and online websites. It is a measure of how often the mobile app or website crashes in any environment. It is an indicator of the quality of the code. The better the code, the longer it will be able to sustain without crashing.
In recent times where the speed of delivery has taken utmost importance, the traditional methods life the SDLC and waterfall models have taken a backseat, giving way for more dynamic and fast-paced agile, scrum and lean methodologies.
This section on software quality metrics would be obsolete and incomplete if we do not look at some very important metrics in agile. These are the metrics that are more important and relevant in today’s scenario.

6. Lead Time:

Lead time is defined as the time it takes from the time of project or sprint kick-off to the completion. In an agile process, we normally pick up user stories that will be delivered at the end of the sprint.
The lead time is thus defined as the time it takes to complete and deliver these user stories.

7. Cycle Time

Cycle time is similar to the lead time with a difference that leads time is measured per user story, while cycle time is measured per task. For eg, if database creation is part of the user story related to client data.
Then time taken to create the database would be the cycle time, while the time taken to have the complete database ready would be the lead time. The cycle time data is used to arrive at delivery estimation timelines for future sprints.

8. Team Velocity

Team Velocity is a very important metric for Agile/Scrum. It is an indicator of the number of tasks or user stories a team is able to complete during a single sprint. This does not include the items moved to the backlog and incomplete items. Only fully completed user stories are included for velocity calculations. This is an important metric because based on the team velocity, the management would decide on the number of stories they can pick up for the next sprint.
Read also: Quality assurance process

9. First Time Pass Rate

These metrics are in line with the agile principle of dynamic, fast and quality delivery. It is an indicator of the number of test cases that pass in the first run itself. It is also an indicator of the quality of development. In simpler terms, it means that no defects were found in the developed code when it went through testing for the first time

10. Defect Count Per Sprint

As the same suggests, these metrics take the count of defects found in each sprint. This is a very simple yet useful metrics for assessing the quality of the user stories delivered during any sprint.
Conclusion
Attaining software quality is indeed a tedious process. But through a systematic process, it’s indeed achievable.  Remember, software quality is the only resort you can rely on in achieving profit for your business.