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Prediction models and techniques for Open Source Software projects: A systematic literature review

Tutkimustuotosvertaisarvioitu

Standard

Prediction models and techniques for Open Source Software projects : A systematic literature review. / Syeed, M. M Mahbubul; Hammouda, Imed; Systä, Tarja.

julkaisussa: International Journal of Open Source Software and Processes, Vuosikerta 5, Nro 2, 01.04.2014, s. 1-39.

Tutkimustuotosvertaisarvioitu

Harvard

Syeed, MMM, Hammouda, I & Systä, T 2014, 'Prediction models and techniques for Open Source Software projects: A systematic literature review', International Journal of Open Source Software and Processes, Vuosikerta. 5, Nro 2, Sivut 1-39. https://doi.org/10.4018/ijossp.2014040101

APA

Syeed, M. M. M., Hammouda, I., & Systä, T. (2014). Prediction models and techniques for Open Source Software projects: A systematic literature review. International Journal of Open Source Software and Processes, 5(2), 1-39. https://doi.org/10.4018/ijossp.2014040101

Vancouver

Syeed MMM, Hammouda I, Systä T. Prediction models and techniques for Open Source Software projects: A systematic literature review. International Journal of Open Source Software and Processes. 2014 huhti 1;5(2):1-39. https://doi.org/10.4018/ijossp.2014040101

Author

Syeed, M. M Mahbubul ; Hammouda, Imed ; Systä, Tarja. / Prediction models and techniques for Open Source Software projects : A systematic literature review. Julkaisussa: International Journal of Open Source Software and Processes. 2014 ; Vuosikerta 5, Nro 2. Sivut 1-39.

Bibtex - Lataa

@article{b79fa02d3f184ed69d3d1cfcdcffa0ec,
title = "Prediction models and techniques for Open Source Software projects: A systematic literature review",
abstract = "Open Source Software (OSS) is currently a widely adopted approach to developing and distributing software. For effective adoption of OSS, fundamental knowledge of project development is needed. This often calls for reliable prediction models to simulate project evolution and to envision project future. These models provide help in supporting preventive maintenance and building quality software. This paper reports on a systematic literature survey aimed at the identification and structuring of research that offer prediction models and techniques in analyzing OSS projects. In this review, we systematically selected and reviewed 52 peer reviewed articles that were published between January, 2000 and March, 2013. The study outcome provides insight in what constitutes the main contributions of the field, identifies gaps and opportunities, and distills several important future research directions.",
keywords = "Fault prediction, Open Source Software, OSS community, Prediction, Systematic literature review",
author = "Syeed, {M. M Mahbubul} and Imed Hammouda and Tarja Syst{\"a}",
note = "EXT={"}Hammouda, Imed{"}",
year = "2014",
month = "4",
day = "1",
doi = "10.4018/ijossp.2014040101",
language = "English",
volume = "5",
pages = "1--39",
journal = "International Journal of Open Source Software and Processes",
issn = "1942-3926",
publisher = "IGI Global",
number = "2",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Prediction models and techniques for Open Source Software projects

T2 - A systematic literature review

AU - Syeed, M. M Mahbubul

AU - Hammouda, Imed

AU - Systä, Tarja

N1 - EXT="Hammouda, Imed"

PY - 2014/4/1

Y1 - 2014/4/1

N2 - Open Source Software (OSS) is currently a widely adopted approach to developing and distributing software. For effective adoption of OSS, fundamental knowledge of project development is needed. This often calls for reliable prediction models to simulate project evolution and to envision project future. These models provide help in supporting preventive maintenance and building quality software. This paper reports on a systematic literature survey aimed at the identification and structuring of research that offer prediction models and techniques in analyzing OSS projects. In this review, we systematically selected and reviewed 52 peer reviewed articles that were published between January, 2000 and March, 2013. The study outcome provides insight in what constitutes the main contributions of the field, identifies gaps and opportunities, and distills several important future research directions.

AB - Open Source Software (OSS) is currently a widely adopted approach to developing and distributing software. For effective adoption of OSS, fundamental knowledge of project development is needed. This often calls for reliable prediction models to simulate project evolution and to envision project future. These models provide help in supporting preventive maintenance and building quality software. This paper reports on a systematic literature survey aimed at the identification and structuring of research that offer prediction models and techniques in analyzing OSS projects. In this review, we systematically selected and reviewed 52 peer reviewed articles that were published between January, 2000 and March, 2013. The study outcome provides insight in what constitutes the main contributions of the field, identifies gaps and opportunities, and distills several important future research directions.

KW - Fault prediction

KW - Open Source Software

KW - OSS community

KW - Prediction

KW - Systematic literature review

UR - http://www.scopus.com/inward/record.url?scp=84924346193&partnerID=8YFLogxK

U2 - 10.4018/ijossp.2014040101

DO - 10.4018/ijossp.2014040101

M3 - Article

VL - 5

SP - 1

EP - 39

JO - International Journal of Open Source Software and Processes

JF - International Journal of Open Source Software and Processes

SN - 1942-3926

IS - 2

ER -