Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/14005
Title: Design and develop an environment to analyse object- oriented software and quality assurance
Researcher: Singh, Thakore Devendra
Guide(s): Upadhyay, Akhilesh R
Keywords: Computer Science
Object- oriented software
Upload Date: 12-Dec-2013
University: Shri Jagdishprasad Jhabarmal Tibarewala University
Completed Date: 08/06/2013
Abstract: Software quality cannot be improved simply by following industry standards which require adaptive/upgrading of standards or models very frequently. Quality Assurance at the design phase, based on typical design artifacts, reduces the efforts to fix the vulnerabilities which affect the cost of product. For this different design metrics are available, based on its result design artifacts can be modified. But to modify or make changes in artifacts is not an easy task because these artifacts are designed by rigorous study of requirements. To analyze, extract and transform the hidden facts in natural language to some formal model has so many challenges and obstacles. To overcome some of these obstacles in software analysis there should be some mean or a technique which aims at to generate software artifacts to build the formal models such as UML class diagrams. The technique should be able to convert the NL business requirements in to some formal intermediate representation and then focus on identifying the various software artifacts for generating analysis phase models. It should also provide output in the format understood by model visualizing tools. In the re-engineering process, finding out the design level artifacts and model information about the previous version of software system from available source code with easy layout is a very difficult task. If done manually, many problems occur due to the limited ability of human brains to deal with the complexity and security of large software systems. newline newlineIn light of this, to overcome these difficulty there is need of automated environment which will assess generated design artifacts from natural language as forward engineering and from source code as re engineering and finally suggest and validates alternate designs options for better quality assurance.
Pagination: 201p.
URI: http://hdl.handle.net/10603/14005
Appears in Departments:Faculty of Computer Science & Engineering

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01_title.pdfAttached File44.92 kBAdobe PDFView/Open
02_declaration.pdf35.38 kBAdobe PDFView/Open
03_certificate.pdf5.42 kBAdobe PDFView/Open
04_acknowledgement.pdf24.91 kBAdobe PDFView/Open
05_table of contents.pdf12.88 kBAdobe PDFView/Open
06_list of table.pdf13.83 kBAdobe PDFView/Open
07_list of figure.pdf24.46 kBAdobe PDFView/Open
08_list of abbreviations.pdf13.91 kBAdobe PDFView/Open
09_abstract.pdf24.58 kBAdobe PDFView/Open
10_chapter 1.pdf393.88 kBAdobe PDFView/Open
11_chapter 2.pdf132.8 kBAdobe PDFView/Open
12_chapter 3.pdf368.67 kBAdobe PDFView/Open
13_chapter 4.pdf1.8 MBAdobe PDFView/Open
14_chapter 5.pdf2.09 MBAdobe PDFView/Open
15_chapter 6.pdf867.04 kBAdobe PDFView/Open
16_conclusion.pdf707.24 kBAdobe PDFView/Open
17_references.pdf23.11 kBAdobe PDFView/Open
18_appendix.pdf16.76 kBAdobe PDFView/Open


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