Software Reliability

By Prof. Subhashis Chatterjee | IIT (ISM) Dhanbad

Learners enrolled: 478 | Exam registration: 26

ABOUT THE COURSE:

Welcome to "Software Reliability," a comprehensive course designed to equip you with the essential principles and practices for ensuring the dependability of software systems. Throughout this course, you will delve into software engineering, reliability modeling, and fault prediction to enhance software reliability, performance and security. We will explore both theoretical foundations and practical applications, using case studies and real-world examples. This course is ideal for software developers, engineers, and quality assurance professionals aiming to improve software robustness. Join us to master the techniques needed to create reliable and resilient software.

INTENDED AUDIENCE: UG/PG/Ph.D of CSE, EE, ECE, Mathematics, Mathematics & Computing, Statistics, Statistics & Informatics, Data Science, Mechanical Egg. and so on as per the present registration as an open elective

PREREQUISITES: Not very specific. Knowledge of basic probability and statistics desirable but not mandatory.

INDUSTRY SUPPORT: All companies who are developing software or software driven product, Companies who are doing software maintenance, companies who are performing Software Quality assurance, as well as some startups (related to software solutions) can get various reliability related ideas of a software system from this course.

Summary

Course Status :	Upcoming
Course Type :	Elective
Language for course content :	English
Duration :	12 weeks
Category :	Mathematics
Credit Points :	3
Level :	Undergraduate/Postgraduate
Start Date :	19 Jan 2026
End Date :	10 Apr 2026
Enrollment Ends :	02 Feb 2026
Exam Registration Ends :	13 Feb 2026
Exam Date :	25 Apr 2026 IST
NCrF Level	4.5 — 8.0

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1: Introduction to probability concepts and software engineering

Week 2: Details of reliability theory

Week 3: Classification of reliability models

Week 4: Fault dependency and testing effort

Week 5: Debugging process and change point issues

Week 6: Software release time analysis and fault tolerant systems

Week 7: Description of Soft computing techniques

Week 8: Regression and classification models

Week 9: Data driven approach in software reliability

Week 10: Software dependability issues

Week 11: Introduction to MATLAB and statistical software and hands on

Week 12: AI applications on reliability analysis

Books and references

J.D. Musa, Anthny Iannino and Kazuhira Okumoto, Software Reliabity Measurement, Prediction and Application, McGraw-Hill, 1987.
Kapur, P. K., Pham, H., Gupta, A., & Jha, P. C. (2011). Software reliability assessment with OR applications (Vol. 364). London: Springer.
Yamada, S. (2014). Software reliability modeling: fundamentals and applications (Vol. 5, p. 100). Tokyo: Springer.
Hoang, Pham, System Software Reliability, Springer, 2006
Martin L. Shooman, Software Engineering Design, Reliability and Management, McGraw-Hill, 1983.

Instructor bio

Prof. Subhashis Chatterjee

IIT (ISM) Dhanbad

Prof Chatterjee obtained his M Sc & Ph.D from IIT Kharagpur in the year 1990 & 1997 respectively. Professor Chatterjee worked for 7 years faculty member in the Department of Mathematics in Sikkim Manipal Institute of Technology, Sikkim. From December 2006 onwards, Prof. Chatterjee have been associated with the Department of Mathematics & Computing for more than a decade and having been involved in handling the core courses such as “Software Engineering”, “Data Structures and Algorithms”, “Fundamentals of Machine Learning”, “Introduction to Deep learning” “Probability and Statistics” and Stochastics Processes. Prof. Chatterjee also taught elective course “Software Reliability”. Prof. Chatterjee also handled research and developments projects from agencies such as UGC, and ISRO in the area of Software Reliability, Sampling Theory and Software Dependability Analysis for real life systems. Apart from this, he has been guiding the UG and PG students in the areas of Software Reliability, Software Dependability Analysis, Development of Clustering Algorithms in Bioinformatics using Machine learning, Deep Learning, Soft Computing, as a part of dissertation projects.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.

The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).

Date and Time of Exams: April 25, 2026 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.

Registration url: Announcements will be made when the registration form is open for registrations.

The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.

Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

Please note that assignments encompass all types (including quizzes, programming tasks, and essay submissions) available in the specific week.

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT-ISM Dhanbad. It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team

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