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Software Quality Management Techniques | A Complete Guide with Best Practices

Last updated on 04th Nov 2022, Artciles, Blog

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Sundar (Senior Software Engineer-SItecore )

Sundar is a senior software engineer, and his passion lies in writing articles on the most popular IT platforms, including Prometheus, HIPAA, SaaS DXP, machine learning, DevOps, data science, artificial intelligence, RPA, deep learning, and so on. You can stay up-to-date on all these technologies.

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    • In this article you will learn:
    • 1.Introduction to a Software Quality Management.
    • 2.Tools for a Software Quality Management.
    • 3.Features and Characteristics.
    • 4.Types and methods.
    • 5.Benefits.
    • 6.Conclusion.

Introduction to a Software Quality Management:

  • Within information system, software is tool and tools have to be selected for a quality and suitability.
  • This is a role of requirements. But software is more than tool.
  • It finds a performance of the system and therefore it is critical to a quality of system.

Tools for a Software Quality Management:

1. Flowchart:

  • A flowchart is the diagram that represents workflow process, algorithm, or a step-by-step a process connected by the arrows in various directions.
  • These flowcharts are used to represent an organisational structures, login systems, document a work process flows, billing transaction flows etc.
  • Flowcharts allow us to identify an actual flow of events in a system. It is a stage of a process that will provide an information or picture of what the process looks like and shed some light on a quality issues. The flowchart helps to identify where an exactly the quality problem lies in the process.

2. check sheet:

Check sheet is used to collect a data and information in simple format. It increases an accuracy in the data collection process with simple methods and formats. It also significantly reduces a data collection efforts. This data collection is based on a real facts and figures rather than any imaginary numbers and objects. This data collection method are produces some kind of a output and this output is in a various data format which is always simpler for analysis.

3. Cause-Effect Diagram:

  • The cause-effect diagram is also known as a fish diagram because shape is somewhat similar to lateral view of a fish skeleton. During problem-solving everyone in a team has a various opinion about the problem or a root cause of the problem.
  • The FISH The diagram captures all reasons, ideas and uses a brainstorming methods to identify strongest root cause. The cause-effect diagram records are causes of a specific problems or the problems related to the processor system. Will find many various causes for specific problem.

4. Pareto chart:

  • A Pareto chart is the bar graph as well as line graph that graphically summarises the group of data. The data can be related to a cost, time, defects etc. Here the bars in the graph represent a values ​​in descending order i.e longest bar on a left and the shortest bar on right and the cumulative total is a represented by lines.
  • The left vertical line or axis represents a frequency of an events; This event may be a related to cost, defect or a some other unit of measurement. The right vertical axis are represents a cumulative percentage of a total number of events.
Types of Software Quality Mangement

5. Control chart:

  • Control charts, also known as a statistical process controls, are used to find whether business processes are in a state of control. A control chart is a graph that shows how a process changes are over time.
  • If analysis of control chart indicates that a processes are stable and have a little variation and are under control, no change is a necessary to process control parameters.
  • The control chart helps to find the sources of variation if a processes are not under control. This means that are corrective action is need for the a process control parameter.

6. Histogram:

  • A histogram is the graphical representation in bar chart that shows where a pattern occurs in the variety of positions. It is a distribution of numerical data and it offers an essential information about a size and dispersion or spread of a set of a sample data.
  • The numerical information can be of any type like a marks obtained during an examination, number of a new employees joined in a specific month, number of complaints are received per category etc. The histogram shows an intensity of a specific problem and displays the data in one go. visual format.

7. Scatter Diagram:

A scatter diagram is the graphical representation that shows a relationship between two variables. It is the quality management tool, in which the data is represented as point and each point on a graph indicates a value on a horizontal and vertical axis. Of these two variables, one variable is an independent and the other variable is a dependent on a first variable.New and updated a tools continue to the proliferate across a software quality spectrum, with an expansion options in a testing automation, performance testing,mobile testing, niche testing bug a tracking and more. Here are few favourite software quality tools:

  • Selenium (Web Application Testing).
  • Robot Framework (Acceptance Testing).
  • Appium (mobile testing).
  • Jmeter (load test).
  • Jenkins (Continuous Testing).
  • Postman / Robot Framework (API Testing).
  • firebug/firepath (online debugging).
  • GitLab (project and source code hosting).
  • UIAutomator (Galen Framework).
  • Pycharm, Eclipse (source code editor) etc.

Features and Characteristics:

Software quality is the judgement about a value of a software from a specific point of view. Software quality is an often decomposed into individual quality characteristics.

User perspective:

  • There are more features that are important from a point of view of the user.
  • Does a software provide a full range of a desired functionality for its intended purpose?
  • Does a software work reliably to produce right results on a right inputs?
  • Does a software function safely and securely in a response to bad input?

Is a software easy to use?

  • Does a software act reactively or does it seem unnecessarily slow?
  • Does a software work well with the other software employed by the user?

Operational perspective:

  • Considering a user quality problems as important, the IT group responsible for a deploying and maintaining software may be concerned with the other issues.
  • Is a software protected from a malicious attacks aimed at compromising the other components of IT infrastructure?
  • Does a software make good use of a computing resources or does it seem to need more memory and processing power than is necessary?

Developer perspective:

  • Beyond a user and operational perspectives, developers of a software may consider the other quality factors, particularly focusing on a quality of the source code.
  • How simple is it to modify the software to adapt to changing needs?
  • Whether a software can be adapted to operate a well on a variety of various computing platforms.
Quality Management

Types and methods:

Software testing can be divided into the several types. Every type has its own application, requirements, advantages and disadvantages. Software testing is majorly divided into the two different types: functional and non-functional testing.

Functional testing-

Functional tests are run to an ensure that a software under test conforms to a software requirement specification. Functional testing types are include:

Unit testing- Unit testing involves a testing independent modules of a software. This test is usually run by a programmer to test a compiled code.

Integration testing- Testing of all the modules of the software to an nensure that they work in a harmony with each other. This testing technique is a especially important in a distributed systems.

System test- Testing an entire system as per a software requirements.

Cleanliness test- a Prudence test checks whether planned functionality is working as an expected.

Smoke test- Smoke test checks are whether a software is fully tested or not.

Interface test- Interface testing finds whether two separate a components of the software can communicate with the each other.

Regression testing- Regression testing is a testing the application as a whole to test new change in functionality.

Beta/acceptance testing- Acceptance or user acceptance testing tests a software against its requirements to check a whether the end to end flow is as per a requirements of user.

Non-functional test-

Non-functional testing tests a non-functional requirements of a software to determine its performance, usability, and reliability. Non-functional test types are include:

Performance test- Performance testing checks a whether software performs to find a standards and a performance requirements.

load test- Load testing finds the behaviour of software under a specific load conditions that may cause a performance degradation.


  • Increase a productivity of a development team.
  • Improved Product Quality – Test statistics and defect a tracking are more accurate and up-to-date.
  • Rework costs are be reduced as a defects are detected earlier in a software project development life cycle at each stage.
  • Increased level of a confidence in existing a product management and future product development.
  • The increased reliability would be are highly qualitative as a software produced.
  • Save money.
  • Inspires a client confidence.
  • Maintains a great user experience.
  • Brings a more benefits.


Have explored all basic quality management and improvement tools here in this article.Every quality tool has unique features and benefits for a specific situation and these tools can be used for problem-solving depending on the situation. However not all the quality control tools can be used for problem-solving.

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