An Appropriate Method Ranking Approach for Localizing Bugs using Minimized Search Space
نویسندگان
چکیده
In automatic software bug localization, source code analysis is usually used to localize the buggy code without manual intervention. However, due to considering irrelevant source code, localization accuracy may get biased. In this paper, a Method level Bug localization using Minimized search space (MBuM) is proposed for improving the accuracy, which considers only the liable source code for generating a bug. The relevant search space for a bug is extracted using the execution trace of the source code. By processing these relevant source code and the bug report, code and bug corpora are generated. Afterwards, MBuM ranks the source code methods based on the textual similarity between the bug and code corpora. To do so, modified Vector Space Model (mVSM) is used which incorporates the size of a method with Vector Space Model. Rigorous experimental analysis using different case studies are conducted on two large scale open source projects namely Eclipse and Mozilla. Experiments show that MBuM outperforms existing bug localization techniques.
منابع مشابه
The Design of the Best Heat Integrated Separation Systems Using Harmony Search Algorithm
The synthesis of heat integrated multi-component distillation systems is complex due to its huge search space for structural combination and optimization computation. To provide a systematic approach and tools for the synthesis design of distillation systems, a new method for modeling heat integrated columns is presented, and the operating cost objective function is minimized by improved harmon...
متن کاملFeasibility of detecting and localizing radioactive source using image processing and computational geometry algorithms
We consider the problem of finding the localization of radioactive source by using data from a digital camera. In other words, the camera could help us to detect the direction of radioactive rays radiation. Therefore, the outcome could be used to command a robot to move toward the true direction to achieve the source. The process of camera data is performed by using image processing and computa...
متن کاملOPTIMAL DESIGN OF STEEL MOMENT FRAME STRUCTURES USING THE GA-BASED REDUCED SEARCH SPACE (GA-RSS) TECHNIQUE
This paper proposes a GA-based reduced search space technique (GA-RSS) for the optimal design of steel moment frames. It tries to reduce the computation time by focusing the search around the boundaries of the constraints, using a ranking-based constraint handling to enhance the efficiency of the algorithm. This attempt to reduce the search space is due to the fact that in most optimization pro...
متن کاملOptimal Capacitor Allocation in Radial Distribution Networks for Annual Costs Minimization Using Hybrid PSO and Sequential Power Loss Index Based Method
In the most recent heuristic methods, the high potential buses for capacitor placement are initially identified and ranked using loss sensitivity factors (LSFs) or power loss index (PLI). These factors or indices help to reduce the search space of the optimization procedure, but they may not always indicate the appropriate placement of capacitors. This paper proposes an efficient approach for t...
متن کاملMeta Search Engine using Multi-Objective Partial Rank Aggregation: Application in Ranking WebPages
Although there are hundreds of search engines no single search engine can satisfy all web users and can be considered broadly acceptable that Sufficiently comprehensive in its coverage of the web moreover they consist the “spam pages” when a web page gets an undeservedly high rank. Therefore, a robust technique for Meta Search Engine is required that can effectively combat “spam pages”, a serio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016