Analysis of Test Log Information through Interactive Visualizations

被引:7
|
作者
Castro, Diego [1 ]
Schots, Marcelo [1 ]
机构
[1] Univ Estado Rio De Janeiro, MARVEL SE, Informat & Comp Sci Dept, Rio De Janeiro, RJ, Brazil
关键词
Software testing; information visualization; test log analysis;
D O I
10.1145/3196321.3196345
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
A fundamental activity to achieve software quality is software testing, whose results are typically stored in log files. These files contain the richest and more detailed source of information for developers trying to understand failures and identify their potential causes. Analyzing and understanding the information presented in log files, however, can be a complex task, depending on the amount of errors and the variety of information. Some previously proposed tools try to visualize test information, but they have limited interaction and present a single perspective of such data. This paper presents ASTRO, an infrastructure that extracts information from a number of log files and presents it in multi-perspective interactive visualizations that aim at easing and improving the developers' analysis process. A study carried out with practitioners from 3 software test factories indicated that ASTRO helps to analyze information of interest, with less accuracy in tasks that involved assimilation of information from different perspectives. Based on their difficulties, participants also provided feedback for improving the tool.
引用
收藏
页码:156 / 166
页数:11
相关论文
共 50 条
  • [31] VISUALIZATIONS IN TEACHING CHEMISTRY - EXPLORING CONCEPTS VIA INTERACTIVE VISUALIZATIONS
    SABELLI, N
    LIVSHITS, I
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1992, 204 : 111 - CHED
  • [32] Improving Comprehension Efficiency of High Content Screening Data Through Interactive Visualizations
    Omta, Wienand A.
    de Nobel, Jacob
    Klumperman, Judith
    Egan, David A.
    Spruit, Marco R.
    Brinkhuis, Matthieu J. S.
    ASSAY AND DRUG DEVELOPMENT TECHNOLOGIES, 2017, 15 (06) : 247 - 256
  • [33] VISUALIZATIONS OF THE INTEGRAL FORMS OF MAXWELL EQUATIONS THROUGH INTERACTIVE COMPUTER-GRAPHICS
    HOBURG, JF
    IEEE TRANSACTIONS ON EDUCATION, 1988, 31 (04) : 251 - 256
  • [34] Frame of reference and navigation through document visualizations: Flying through information space
    Vincow, MA
    Wickens, CD
    PROCEEDINGS OF THE HUMAN FACTORS AND ERGONOMICS SOCIETY 42ND ANNUAL MEETING, VOLS 1 AND 2, 1998, : 511 - 515
  • [35] Supporting Interactive Visual Analytics of Energy Behavior in Buildings through Affine Visualizations
    Nielsen, Matthias
    Brewer, Robert S.
    Gronbaek, Kaj
    PROCEEDINGS OF THE 28TH AUSTRALIAN COMPUTER-HUMAN INTERACTION CONFERENCE (OZCHI 2016), 2016,
  • [36] AnnoMate: Exploring and annotating integrated molecular data through custom interactive visualizations
    Chu, Claudia
    Messer, Conor
    Van Seters, Samantha
    Miller, Mendy
    Schlueter-Kuck, Kristy
    Getz, Gad
    PATTERNS, 2024, 5 (10):
  • [37] Interactive Visualizations on Large and Small Displays: The Interrelation of Display Size, Information Space, and Scale
    Jakobsen, Mikkel R.
    Hornbaek, Kasper
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2013, 19 (12) : 2336 - 2345
  • [38] Pitfalls of Information Access with Visualizations in Remote Collaborative Analysis
    Balakrishnan, Aruna D.
    Kiesler, Sara
    Kittur, Aniket
    Fussell, Susan R.
    2010 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK, 2010, : 411 - 420
  • [39] The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
    Tenney, Ian
    Wexler, James
    Bastings, Jasmijn
    Bolukbasi, Tolga
    Coenen, Andy
    Gehrmann, Sebastian
    Jiang, Ellen
    Pushkarna, Mahima
    Radebaugh, Carey
    Reif, Emily
    Yuan, Ann
    PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS, 2020, : 107 - 118
  • [40] LogAssist: Assisting Log Analysis Through Log Summarization
    Locke, Steven
    Li, Heng
    Chen, Tse-Hsun
    Shang, Weiyi
    Liu, Wei
    IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2022, 48 (09) : 3227 - 3241