Many tools for enabling developers locating faults in their programs have been proposed in the literature. The majority of the programs they target are those created in the C/C++ and Java. In this paper, we offer a tool named ``SFLaaS'' for locating faults in programs written in Python, a popular programming language, and is provided as a service rather than as a plugin or a command-line tool to be installed. Thus, our tool can be accessed anytime and from anywhere. The tool employs Spectrum-based fault localization (SBFL) to help Python developers automatically analyze their programs and generate useful data at run-time to be used to produce a ranked list of potentially faulty program elements (i.e., statements). Our proposed tool supports different important features in fault localization such as supporting about 80 SBFL formulas, different tie-breaking methods, showing code elements with different colors, ranging from most suspicious (red) not suspicious (green) based on their suspicious scores, allowing the user to define his/her own formula, etc. Using our tool could help developers to efficiently find the locations of different types of faults in their programs.
Tue 18 AprDisplayed time zone: Dublin change
14:00 - 15:30 | Session 10: Program RepairResearch Papers / Previous Editions / Posters at Grand canal Chair(s): Gunel Jahangirova USI Lugano, Switzerland | ||
14:00 20mTalk | Exploring True Test Overfitting in Dynamic Automated Program Repair using Formal Methods Previous Editions Amirfarhad Nilizadeh University of Central Florida, Gary T. Leavens University of Central Florida, Xuan Bach D. Le The University of Melbourne, Corina S. Păsăreanu Carnegie Mellon University, David Cok Safer Software Consulting, LLC DOI | ||
14:20 20mTalk | Embedding Context as Code Dependencies for Neural Program Repair Research Papers Noor Nashid University of British Columbia, Mifta Sintaha University of British Columbia, Ali Mesbah University of British Columbia (UBC) | ||
14:40 20mTalk | CorCA: An Automatic Program Repair Tool for Checking and Removing Effectively C Flaws Research Papers João Inácio LASIGE, Faculdade de Ciências da Universidade de Lisboa, Ibéria Medeiros LaSIGE, Faculdade de Ciências da Universidade de Lisboa | ||
15:00 20mTalk | Set the right example when teaching programming: Test Informed Learning with Examples (TILE) Research Papers Niels Doorn Open Universiteit and NHL Stenden University of Applied Sciences, Tanja E. J. Vos Universitat Politècnica de València and Open Universiteit, Beatriz Marín Universitat Politècnica de València, Erik Barendsen Open Universiteit | ||
15:20 5mTalk | Poster: Software Fault Localization as a Service (SFLaaS) Posters Qusay Idrees Sarhan Department of Software Engineering, University of Szeged, Hassan Bapeer Hassan University of Duhok, Árpád Beszédes Department of Software Engineering, University of Szeged | ||
15:25 5mTalk | Poster: Improving Spectrum Based Fault Localization For Python Programs Using Weighted Code Elements Posters Qusay Idrees Sarhan Department of Software Engineering, University of Szeged, Árpád Beszédes Department of Software Engineering, University of Szeged |