AI SearchCorrelation between code smell and understandability
Call Number: AIT Thesis no.CS-11-15 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. CS-11-15Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2011Description: 87 p. : illSubject(s): Online resources: Dissertation note: Thesis (M.Eng.) - Asian Institute of Technology, 2011 Summary: Code smell can negatively affect software quality. It can be the indication of the bad design or coding, however the relation between code smell and software quality is not characterized. Therefore, developers may not be convinced to avoid code smell in the source code. Knowing the correlation between code smell and software quality is a way to support the awareness of this issue. This thesis focuses on extracting the con-elation between long parameter list smell and understandability, one of characteristics of software quality. Understandability. in the source code is important. Not only a computer but also developers uses the source code. They have to understand the source code so that they can modify, add functionalities, and find errors. HVOC metric is chosen to be a proxy of understandability. Besides extracting the con-elation, the experiment was conducted to examine the effectiveness of HVOC as a proxy of understandability so that the result will support the con-elation that is extracted in the first part of the thesis.
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Thesis (M.Eng.) - Asian Institute of Technology, 2011
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology
Code smell can negatively affect software quality. It can be the indication of the bad design or coding, however the relation between code smell and software quality is not characterized. Therefore, developers may not be convinced to avoid code smell in the source code. Knowing the correlation between code smell and software quality is a way to support the awareness of this issue. This thesis focuses on extracting the con-elation between long parameter list smell and understandability, one of characteristics of software quality. Understandability. in the source code is important. Not only a computer but also developers uses the source code. They have to understand the source code so that they can modify, add functionalities, and find errors. HVOC metric is chosen to be a proxy of understandability. Besides extracting the con-elation, the experiment was conducted to examine the effectiveness of HVOC as a proxy of understandability so that the result will support the con-elation that is extracted in the first part of the thesis.
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