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dc.contributor.advisor Wijesiriwardana C
dc.contributor.author Dilruk BVT
dc.date.accessioned 2019
dc.date.available 2019
dc.date.issued 2019
dc.identifier.citation Dilruk, B.V.T.(2019). Coding standard violation detection by pattern analysis [Master’s theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/15750
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/15750
dc.description.abstract Today we live in the era of Information Technology. The success of any other industry is linked with the way how they use Information Technology to handle their operations. In order to fulfill that requirement, presently there are various kinds of software have been developed. Developing software is not that much of an easy task since it has a development lifecycle to build successful software. However, there are some critical issues that we can identify when developing a software project. Software complexity, maintainability, and enhancement are the major issues which we can highlight in our literature review section. Poor cording standard drive makes the most of the software projects complex and extremely difficult to enhance and maintain. In this thesis we have proposed the coding standard violation detection mechanism by pattern analyzing. With this approach, a standard coding guideline is kept through an online reference using pattern analyzes mechanism. This tool helps the developer to do the developments through a standard guideline. It will also prevent violations done by the programmer. In this tool, it would provide a facility to add a coding standard through the online reference. Then the proposed tool will take it as the model to follow the standard. Whenever the developer violates the standard the error will be shown. en_US
dc.language.iso en en_US
dc.subject INFORMATION TECHNOLOGY-Thesis en_US
dc.subject CODES, SYMBOLIC-Coding Errors en_US
dc.subject PATTERN RECOGNITION en_US
dc.subject SOFTWARE DEVELOPMENT en_US
dc.title Coding standard violation detection by pattern analysis en_US
dc.type Thesis-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.degree MSc in Information Technology en_US
dc.identifier.department Department of Information Technology en_US
dc.date.accept 2019
dc.identifier.accno TH3925 en_US


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