ICPC 2018
Sun 27 - Mon 28 May 2018 Gothenburg, Sweden
co-located with * ICSE 2018 *
Sun 27 May 2018 14:17 - 14:34 at R2 - Logs and Dynamic Analysis Chair(s): Giuliano Antoniol

Many software engineering activities process the events contained in log files. However, before performing any processing activity, it is necessary to parse the entries in a log file, to retrieve the actual events recorded in the log. Each event is denoted by a log message, which is composed of a fixed part-called (event) template-that is the same for all occurrences of the same event type, and a variable part, which may vary with each event occurrence. The formats of log messages, in complex and evolving systems, have numerous variations, are typically not entirely known, and change on a frequent basis; therefore, they need to be identified automatically. The log message format identification problem deals with the identification of the different templates used in the messages of a log. Any solution to this problem has to generate templates that meet two main goals: generating templates that are not too general, so as to distinguish different events, but also not too specific, so as not to consider different occurrences of the same event as following different templates; however, these goals are conflicting. In this paper, we present the MoLFI approach, which recasts the log message identification problem as a multi-objective problem. MoLFI uses an evolutionary approach to solve this problem, by tailoring the NSGA-II algorithm to search the space of solutions for a Pareto optimal set of message templates. We have implemented MoLFI in a tool, which we have evaluated on six real-world datasets, containing log files with a number of entries ranging from 2K to 300K. The experiments results show that MoLFI extracts by far the highest number of correct log message templates, significantly outperforming two state-of-the-art approaches on all datasets.

Sun 27 May

14:00 - 15:30: Technical Research - Logs and Dynamic Analysis at R2
Chair(s): Giuliano AntoniolPolytechnique MontreĢal
icpc-2018-Technical-Research14:00 - 14:17
Diego CastroRio de Janeiro State University, Marcelo SchotsRio de Janeiro State University
icpc-2018-Technical-Research14:17 - 14:34
Salma MessaoudiUniversity of Luxembourg, Annibale PanichellaDeflt University of Technology, Domenico BianculliUniversity of Luxembourg, Lionel BriandSnT Centre/University of Luxembourg, Raimondas SasnauskasSES
icpc-2018-Technical-Research14:34 - 14:51
Shanshan Li, Xu Niu, Zhouyang JiaNational University of Defense Technology, Ji Wang, Haochen HeNational University of Defense Technology, Teng WangNational University of Defense Technology
DOI Pre-print File Attached
icpc-2018-Technical-Research14:51 - 15:08
Anas ShatnawiUniversity of Milano-Bicocca, Hudhaifa ShatnawiMaharishi University of Management, Mohamed Aymen SaiedConcordia University, Zakarea Al SharaLIRMM, CNRS and University of Montpellier, Houari SahraouiUniversity of Montreal, Abdelhak SeriaiLIRMM, CNRS and University of Montpellier