@inproceedings{6e09ee28991c4e78a051cdf85023ec3d,
title = "Improving open source software process quality based on defect data mining",
abstract = "Open Source Software (OSS) project managers often need to observe project key indicators, e.g., how much efforts are needed to finish certain tasks, to assess and improve project and product quality, e.g., by analyzing defect data from OSS project developer activities. Previous work was based on analyzing defect data of OSS projects by using correlation analysis approach for defect prediction on a combination of product and process metrics. However, this correlation analysis is focusing on the relationship between two variables without exploring the characterization of that relationship. We propose an observation framework that explores the relationship of OSS defect metrics by using data mining approach (heuristics mining algorithm). Major results show that our framework can support OSS project managers in observing project key indicators, e.g., by checking conformance between the designed and actual process models.",
keywords = "Data mining, Defects, Managers, Model checking, Open systems, Project management, Quality control, Software design, Correlation analysis, Defect prediction, Key indicator, Mining algorithms, Open Source Software, Open source software projects, Process metrics, Process model, Process Quality, Product quality, Project developers, Project managers, Computer software selection and evaluation, Data Mining",
author = "Sunindyo, \{Wikan Danar\} and Thomas Moser and Dietmar Winkler and Deepak Dhungana",
note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",
year = "2012",
month = jan,
day = "19",
doi = "10.1007/978-3-642-27213-4\_7",
language = "English",
isbn = "9783642272127",
volume = "94 LNBIP",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer",
pages = "84 – 102",
booktitle = "SWQD",
address = "Germany",
}