@inproceedings{831272dc68e04d6c907cb5befc665b84,
title = "The role of process in early software defect prediction: Methods, attributes and metrics",
abstract = "Software quality is the set of inherent characteristics that are built into a software product throughout software development process. An important indicator of software quality is the trend of software defects in the life-cycle. The models of software defect prediction and software reliability provide the opportunity for practitioners to observe the defectiveness distribution of their products in development and operation. However, reported studies are mostly focused on coding or testing stages. Though this is reasonable due to executable nature of the product, it prevents practitioners from taking the advantages (such as cost reduction) of identifying and predicting software defects earlier in the life-cycle. This paper, therefore, provides an overview of the trend of early software defect prediction studies as retrieved by a systematic mapping of the literature, and elaborates on the methods, attributes, and metrics of the studies that comprise software process data in the defect prediction.",
keywords = "Defect prediction, Early, Prediction model, Process metrics, Software defect, Software quality, Software reliability, Systematic mapping",
author = "Rana Ozakinci and Ayca Tarhan",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 16th International Conference on Software Process Improvement and Capability Determination, SPICE 2016 ; Conference date: 09-06-2016 Through 10-06-2016",
year = "2016",
doi = "10.1007/978-3-319-38980-6\_21",
language = "English",
isbn = "9783319389790",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "287--300",
editor = "Alec Dorling and O{\textquoteright}Connor, \{Rory V.\} and Clarke, \{Paul M.\} and Terry Rout",
booktitle = "Software Process Improvement and Capability Determination - 16th International Conference, SPICE 2016, Proceedings",
address = "Germany",
}