Saturday 3 August 2013

MCIT – 302(A) Software Testing & Quality Assurance & MCIT – 302(B) Digital Image Processing

MCIT – 302(A) Software Testing & Quality Assurance
Introduction to software testing, concepts, issues and techniques, test activities, management and
automation, Coverage and usage testing based on checklist, input domain portioning and boundary testing,
object oriented testing: testing OOA and OOD models, object oriented testing strategies, test case design for OO
software, testing methods applicable at the class level, interclass test case design, Web application testing,
debugging, security & reliability.
Programming style and program quality: simple style rules, comment statements, program quality,
quantifying program quality, Software quality and quality Assurance: Principle of Software Quality Assurance
(SQA), Applying SQA to software project, proven factors for SQA success, SQA during software requirements,
SQA during software design phase, SQA during software code and test, Advance quality engineering topics.
Human factors in software engineering: Human factors history, HCL requirements and design process,
HCL testing.
Reference Books:
1. Ali Behforooz and Frederick J. Hudson, Software Engineering Fundamentals, Oxford University Press
2. JeffTain, Software Quality Engineering: Testing, Quality Assurance and Quantifiable improvement,
Willy Pub.
3. Aditya Mathur, Foundation of Software Testing 1/e, Pearson Education
4. Paul C. Jorgensen, Software Testing, A Craftsman’s Approach, Second Edition, CRC Press


MCIT – 302(B) Digital Image Processing
Image capture and digitization, Image Representation, data structures for picture representation Image
Transformation, Fast Fourier Transform, Walsh Transform, Hadmark Transform, Hotelling Transform, Hough
Transform. Boundary detection, Image Enhancement, Spatial Domain, Frequency Domain, Histogram, Low Pass
Filtering, High Pass Filtering, Thresh olding, Global Thrsholding. Texture analysis, texture classification feature
extraction, rule-based picture segmentation. Introduction to Color Images, Representation, Segmentation.
Reference Books :
1. "Digital Image Processing"- R.C.Gonzalez and P.Wintex,Addison weslay.
2. "Fundamentals of Digital Image Processing"- A.K.Jain, Prentice Hall,India.

3. Image Processing analysiss and Machine Vision, Cengage

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