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Analyzing the impact on identifiable defects in a code independent of typescript

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dc.contributor.advisor Perera I
dc.contributor.author Madurajith GMD
dc.date.accessioned 2022
dc.date.available 2022
dc.date.issued 2022
dc.identifier.citation Madurajith, G.M.D. (2022). Analyzing the impact on identifiable defects in a code independent of typescript [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/21903
dc.identifier.uri http://dl.lib.uom.lk/handle/123/21903
dc.description.abstract Javascript has become the most widespread programming language used to build software for many platforms, including web, mobile, backends, hardware, and desktop applications. It is a dynamically typed programming language that gives freedom to ignore types and build applications quickly. Still, Javascript is a poor language for identifying bugs at the compile time and maintaining large applications because of the dynamic behavior. The developers can use Typescript to add type syntaxes on top of JavaScript as a solution. However, not enough empirical studies exhibit how Typescript impacts detecting detects in applications. We decided to follow an empirically quantified "what-if" style of experimentation. We collected merged javascript bug-fix pull requests from selected open-source projects. Then we selected candidate bugs by applying our predefined criteria such as discarded pull requests with more than five files, code-refactoring, and configuration changes. We manually added Typescript annotation to the buggy code base and checked whether Typescript could detect the defects at the compile type. We assessed 500 bug-fix pull requests over five projects and identified that using Typescript over Javascript could have prevented 22.7% of bugs. According to our literature review, this is one of the few studies related to Typescript identifying bug impact. We believe this study will be significant evidence to consider using Typescript over Javascript in the future to reduce the significant number of bugs. This result will influence developers to adapt to the Typescript from Javascript. However, Typescript is not a silver build for Javascript because developers have to add extra code and complexity to the codebase. So, More research on Typescript is needed. In the future, we plan to explore the cognitive complexity of applying Typescript and the number of required lines to annotate. Furthermore, we plan to use a Typescript converter for annotating to increase the number of sample bugs to analyze. en_US
dc.language.iso en en_US
dc.subject TYPESCRIPT en_US
dc.subject JAVASCRIPT en_US
dc.subject STATIC TYPED en_US
dc.subject DYNAMIC TYPED en_US
dc.subject COMPUTER SCIENCE & ENGINEERING -Dissertation en_US
dc.subject COMPUTER SCIENCE -Dissertation en_US
dc.subject INFORMATION TECHNOLOGY -Dissertation en_US
dc.title Analyzing the impact on identifiable defects in a code independent of typescript en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree MSc In Computer Science and Engineering en_US
dc.identifier.department Department of Computer Science and Engineering en_US
dc.date.accept 2022
dc.identifier.accno TH4945 en_US


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