Removing Exception Handling Bad Smells Using Robusta

• Main Authors: Ya-Wun Yang, 楊雅雯
• Other Authors: 謝金雲
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/z4a3xk

碩士 === 國立臺北科技大學 === 資訊工程系 === 106 === Exception handling bad smells may jeopardize the robustness of a program. While writing exception handling code without bad smells is challenging, the task of removing exception handling bad smells is even harder. This is particularly true for inexperienced developers. Robusta is a static analysis tool capable of detecting exception handling bad smells in Java programs and exposing their impact to the program. As an extension of the previous work on Robusta, in this thesis we propose a serious of refactoring-based smell removal methods corresponding to the exception handling bad smells detectable by the Robusta. The refactoring methods have been implemented in Robusta. Its usefulness has also been shown in an empirical study.