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Correlation between code smell and understandability | |
Author | Benjawan Tanarattanakorn |
Call Number | AIT Thesis no.CS-11-15 |
Subject(s) | Computer software--Reliability |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no. CS-11-15 |
Abstract | 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. |
Year | 2011 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis : no. CS-11-15 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Computer Science (CS) |
Chairperson(s) | Dailey, Matthew N.; |
Examination Committee(s) | Janecek, Paul;Duboz, Raphael; |
Scholarship Donor(s) | Thailand (HM King); |
Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2011 |