Software Reliability X12VZVCXXV

URI	`m2://res/X12VZVCXXV`
Kind	course
Creators	Subhashis Chatterjee (instructor)
Date	2026-01-16
Scope	in

Expressions

e1: edition

Language	en
Date	2026-01-16

m1: page, IIT-ISM Dhanbad (record). nptel 111105902
m2: page, 2026-01-16 (record). nptel 111105902

Contents

part 1: Week 1
session 1: Lecture 01 : Introduction to Probability
session 2: Lecture 02 : Probability Distributions
session 3: Lecture 03 : Probability Distributions & Stochastic Process
session 4: Lecture 04 : Parameter Estimation & Software Engineering
session 5: Lecture 05 : Software life cycle Model & Concepts of Software Engineering
part 2: Week 2
session 6: Lecture 6 : Moduler Design
session 7: Lecture 7 : Reliability Theory and its Measures.
session 8: Lecture 8 : Reliability measures and System Confugaration.
session 9: Lecture 9 : Redundancy in Reliabity
session 10: Lecture 10 :Introduction to Software Reliability
part 3: Week 3
session 11: Lecture 11 : Software Reliability Measures & Reliability Model Classifications
session 12: Lecture 12 : Time between Failure Model
session 13: Lecture 13 : Fault Seeding Modela nd Input Domain Based Model
session 14: Lecture 14 : Fault Count Models
session 15: Lecture 15 : Markov Models
part 4: Week 4
session 16: Lecture 16 : Different Parameters of Musa Execution Time Model and Their Uses
session 17: Lecture 17 : Learning Parameter-based Models
session 18: Lecture 18 : Models with Fault Dependency and Debugging Time-lag
session 19: Lecture 19 : Models with Testing Effort Function
session 20: Lecture 20 : Models with Fault Detection, Correction, and Imperfect Debugging Process
part 5: Week 5
session 21: Lecture 21 : Important Imperfect Debugging Models
session 22: Lecture 22 : Test Coverage Model
session 23: Lecture 23 : Discrete Software Reliability Growth Models
session 24: Lecture 24 : Change Point-Based Reliability Models
session 25: Lecture 25 : Stochastic Software Reliability Models
part 6: Week 6
session 26: Lecture 26 : Random Environmental Effect Model
session 27: Lecture 27 : Multi Release Software System
session 28: Lecture 28 : Software Scheduling
session 29: Lecture 29 : Software Release Time Analysis
session 30: Lecture 30 : Software Reliability In N Version Programming
part 7: Week 7
session 31: Lecture 31 : Time Series based Software Reliability Modesl
session 32: Lecture 32 : Important Time Series Based SRGMs
session 33: Lecture 33 : Introduction to Fuzzy Set Theory
session 34: Lecture 34 : Fuzzy Inference Theorem
session 35: Lecture 35 : Soft Computing-Based Optimization Techniques
part 8: Week : 08
session 36: Lecture 36 : Introduction to Machine Learning Techniques
session 37: Lecture 37 : Some Supervised Machine Learning Models
session 38: Lecture 38 : Deep Learning Techniques
session 39: Lecture 39 : Some Classification Techniques
session 40: Lecture 40 : Unsupervised Machine Learning Models
part 9: Week : 09
session 41: Lecture 41 : Neural Network and Deep Learning-based Reliability Models
session 42: Lecture 42 : Early Phase Software Metrics
session 43: Lecture 43 : Early Phase Fault Prediction
session 44: Lecture 44 : Fault Prone Module Classification Models
session 45: Lecture 45 : Deep Learning Models for Module Classification
part 10: Week : 10
session 46: Lecture 46 : Hybrid Software Classification Models
session 47: Lecture 47 : Imbalance Learning Models
session 48: Lecture 48 : Transfer Learning-Based Models
session 49: Lecture 49 : Unsupervised and Semi-Supervised Fault Prone Module Classification Models
session 50: Lecture 50 : Software Dependability Analysis
part 11: Week : 11
session 51: Lecture 51 : Reqirement Phase Dependability Model
session 52: Lecture 52 : Design Phase Dependability Model
session 53: Lecture 53 : Tyupe-2 Fuzzy-based Dependability Model
session 54: Lecture 54 : Hands-On to Minitab
session 55: Lecture 55 : Dependability Model and MATLAB Introduction
part 12: Week : 12
session 56: Lecture 56 : Software Aging and Rejuvenation
session 57: Lecture 57 : Some Aging Models and Software Re-engineering
session 58: Lecture 58 : Hands On Python Programming with Libraries
session 59: Lecture 59 : Regression and Classification Models (Hands On)
session 60: Lecture 60 : Hands-On With Some Machine Learning Models

Catalogue records

nptel: 111105902 (manifestation)
nptel_video: 111105902 (manifestation)