B.E. Computer Science & Engineering:Software Testing

Thapar University
In Patiala

Price on request
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Important information

Typology Bachelor
Location Patiala
Duration 4 Years
  • Bachelor
  • Patiala
  • Duration:
    4 Years

Where and when
Starts Location
On request
Thapar University P.O Box 32, 147004, Punjab, India
See map
Starts On request
Thapar University P.O Box 32, 147004, Punjab, India
See map

Course programme

First Year: Semester I

Mathematics I
Engineering graphics
Computer Programming
Solid Mechanics
Communication Skill

First Year: Semester-II

Mathematics II
Manufacturing Process
Electrical and Electronic Science
Organizational Behavior

Second Year- Semester - I

Measurement Science and Techniques
Optimization Techniques
Semiconductor Devices
Data Structures
Discrete Mathematical Structures
Digital Electronic Circuits
Human Values, Ethics and IPR

Second Year- Semester – II

Numerical and Statistical Methods
Electrical Engineering Materials
Computer System Architecture
Principles of Programming Languages
Analysis and Design of Information Systems
Operating Systems
Environmental Studies

Third Year- Semester – I

Object Oriented Programming
Theory of Computation
Computer Networks
Data Base Management Systems
Software Engineering
Summer Training

Third Year- Semester – II

Total Quality Management
Algorithm Analysis and Design
Software Project Management
Internet and Web Technologies

Fourth Year- Semester – I

Engineering Economics
System Software
Compiler Construction
Computer Graphics
Artificial Intelligence

Fourth Year- Semester – II

Project Semester
Industrial Training(6 weeks)

Software Testing

Introduction: Terminology, design for testability, objectives, principles, purpose of testing.

Testing Limitations: Theoretical foundations: impracticality of testing all data, impracticality of testing all paths, no absolute proof of correctness.

Role of V&V in Software Evolution: Types of Products: requirements, specifications, designs, implementations, changes, V&V objectives: correctness, consistency, necessity, sufficiency, performance.

Testing Techniques and Strategies: Software technical reviews, Software testing: levels of testing - module, integration, system, regression, Testing techniques and their applicability-functional testing and analysis, structural testing and analysis, error-oriented testing and analysis, hybrid approaches, integration strategies, transaction flow analysis, stress analysis, failure analysis, concurrency analysis, performance analysis.

Flow graphs and Path Testing: Path Testing Basics, Path Predicates, Application of Path Testing.

Transaction Flow Testing: Generalizations, Transaction Flows, Transaction-Flow testing techniques, Implementation Comments.

Data Flow Testing: Basics, Data flow model, Data flow testing strategies, Applications.

Software Testing and Regular Expression: Path products, path sums, Loops, Reduction procedure, Applications, Approximate number of paths, The mean processing time of any routine, Regular expression and Flow-anomaly detection.

Laboratory Work: Developing various exercises like cyclomatic complexity, boundary value analysis and data flow testing etc. Developing a small project/tool to generate test data, to execute test data etc. Exposure to automated testing tool.

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