Data Mining for Software Development Life Cycle Quality Management

Nedeltcheva, Galia. "Data Mining for Software Development Life Cycle Quality Management." Serdica Journal of Computing 8.2 (2014): 183-198. <http://eudml.org/doc/269896>.

@article{Nedeltcheva2014,
abstract = {Computer software plays an important role in business, government, society and sciences. To solve real-world problems, it is very important to measure the quality and reliability in the software development life cycle (SDLC). Software Engineering (SE) is the computing field concerned with designing, developing, implementing, maintaining and modifying software. The present paper gives an overview of the Data Mining (DM) techniques that can be applied to various types of SE data in order to solve the challenges posed by SE tasks such as programming, bug detection, debugging and maintenance. A specific DM software is discussed, namely one of the analytical tools for analyzing data and summarizing the relationships that have been identified. The paper concludes that the proposed techniques of DM within the domain of SE could be well applied in fields such as Customer Relationship Management (CRM), eCommerce and eGovernment. ACM Computing Classification System (1998): H.2.8.},
author = {Nedeltcheva, Galia},
journal = {Serdica Journal of Computing},
keywords = {Data Mining; Software Engineering; Software Development; Data Mining; Quality Management},
language = {eng},
number = {2},
pages = {183-198},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Data Mining for Software Development Life Cycle Quality Management},
url = {http://eudml.org/doc/269896},
volume = {8},
year = {2014},
}

TY - JOUR
AU - Nedeltcheva, Galia
TI - Data Mining for Software Development Life Cycle Quality Management
JO - Serdica Journal of Computing
PY - 2014
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 8
IS - 2
SP - 183
EP - 198
AB - Computer software plays an important role in business, government, society and sciences. To solve real-world problems, it is very important to measure the quality and reliability in the software development life cycle (SDLC). Software Engineering (SE) is the computing field concerned with designing, developing, implementing, maintaining and modifying software. The present paper gives an overview of the Data Mining (DM) techniques that can be applied to various types of SE data in order to solve the challenges posed by SE tasks such as programming, bug detection, debugging and maintenance. A specific DM software is discussed, namely one of the analytical tools for analyzing data and summarizing the relationships that have been identified. The paper concludes that the proposed techniques of DM within the domain of SE could be well applied in fields such as Customer Relationship Management (CRM), eCommerce and eGovernment. ACM Computing Classification System (1998): H.2.8.
LA - eng
KW - Data Mining; Software Engineering; Software Development; Data Mining; Quality Management
UR - http://eudml.org/doc/269896
ER -