Historical Data Repositories in Software Engineering: Status and Possible Improvements

被引：2
|
作者：
Lavazza, Luigi [1 ]
Santillo, Luca [2 ]
机构：
[1] Univ Insubria, Dipartimento Sci Teor & Applicate, Varese, Italy
[2] Agile Metr, Rome, Italy
来源：
PROCEEDINGS OF THE 2012 JOINT CONFERENCE OF THE 22ND INTERNATIONAL WORKSHOP ON SOFTWARE MEASUREMENT AND THE 2012 SEVENTH INTERNATIONAL CONFERENCE ON SOFTWARE PROCESS AND PRODUCT MEASUREMENT (IWSM-MENSURA 2012) | 2012年
关键词：
Software Measurement; Measure; Data; Functional Size; Lines of Code; Function Point Analysis; ISBSG; IFPUG; COSMIC; Tool;
D O I：
10.1109/IWSM-MENSURA.2012.39
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Historical datasets, or Historical Data Repositories (HDR) are important in software engineering, because they support a variety of useful analyses for benchmarking as well as estimation process purposes. Besides private repositories, some public domain data repositories -such as the PROMISE and the ISBSG datasets- have been available for over 15 years. Regardless of their importance, such repositories evolved more in amount of data points, than quality or conformity to commonly agreed practices for data collection and verification. This paper provides some considerations about current issues and possible improvements of (public) HDR's.
引用
收藏
页码：221 / 225
页数：5
相关论文
共 50 条
  • [1] The promise of public software engineering data repositories
    Cukic, B
    [J]. IEEE SOFTWARE, 2005, 22 (06) : 20 - 22
  • [2] PROMISE and ISBSG Software Engineering Data Repositories: A Survey
    Cheikhi, Laila
    Abran, Alain
    [J]. 2013 JOINT CONFERENCE OF THE 23RD INTERNATIONAL WORKSHOP ON SOFTWARE MEASUREMENT AND THE 2013 EIGHTH INTERNATIONAL CONFERENCE ON SOFTWARE PROCESS AND PRODUCT MEASUREMENT (IWSM-MENSURA), 2013, : 17 - 24
  • [3] Software engineering knowledge repositories
    Jedlitschka, A
    Nick, M
    [J]. EMPIRICAL METHODS AND STUDIES IN SOFTWARE ENGINEERING: EXPERIENCE FROM ESERNET, 2003, 2765 : 55 - 80
  • [4] Pattern Repositories for Software Engineering Education
    Sehring, Hans-Werner
    Bossung, Sebastian
    Hupe, Patrick
    Skusa, Michael
    Schmidt, Joachim W.
    [J]. DATABASES AND INFORMATION SYSTEMS IV, 2007, 155 : 40 - 54
  • [5] Effective experience repositories for software engineering
    Schneider, K
    von Hunnius, JP
    [J]. 25TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, PROCEEDINGS, 2003, : 534 - 539
  • [6] Knowledge Extraction from Software Engineering Repositories
    Rao, G. N. V. Ramana
    Balaram, V. V. S. S. S.
    Vishnuvardhan, B.
    [J]. PROCEEDINGS OF THE 2017 INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS), 2017, : 366 - 372
  • [7] Software Engineering Repositories: Expanding the PROMISE Database
    Lima, Marcia
    Valle, Victor
    Costa, Estevao
    Lira, Fylype
    Gadelha, Bruno
    [J]. PROCEEDINGS OF THE XXXIII BRAZILIAN SYMPOSIUM ON SOFTWARE ENGINEERING, SBES 2019, 2019, : 427 - 436
  • [8] On Mining Data across Software Repositories
    Anbalagan, Prasanth
    Vouk, Mladen
    [J]. 2009 6TH IEEE INTERNATIONAL WORKING CONFERENCE ON MINING SOFTWARE REPOSITORIES, 2009, : 171 - 174
  • [9] On the reproducibility of empirical software engineering studies based on data retrieved from development repositories
    Gonzalez-Barahona, Jesus M.
    Robles, Gregorio
    [J]. EMPIRICAL SOFTWARE ENGINEERING, 2012, 17 (1-2) : 75 - 89
  • [10] Effective API Recommendation without Historical Software Repositories
    Liu, Xiaoyu
    Huang, LiGuo
    Ng, Vincent
    [J]. PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18), 2018, : 282 - 292
12345