Paper Info
Title
SPDW+: a seamless approach for capturing quality metrics in software development environments
Abstract
Among the key factors for the success of a metrics program are the regularity of metrics collection, a seamless and efficient data collection methodology, and the presence of non-intrusive automated data collection tools. This paper presents the software process data warehousing architecture SPDW+ as a solution to the frequent, seamless, and automated capturing of software quality metrics, and their integration in a central repository for a full range of analyses. The striking features of the SPDW+ ETL (data extraction, transformation, and loading) approach are that it addresses heterogeneity issues related to the software development context, it is automatable and non-intrusive, and it allows different capturing frequency and latency strategies, hence allowing both analysis and monitoring of software metrics. The paper also provides a reference framework that details three orthogonal dimensions for considering ETL issues in the software development process context, used to develop SPDW+ ETL. The advantages of SPDW+ are: (1) flexibility to meet the requirements of the frequent changes in SDP environments; (2) support for monitoring, which implies the execution of frequent and incremental loads; (3) automation of the complex and time-consuming task of capturing metrics, making it seamless; (4) freedom of choice regarding management models and support tools used in projects; and (5) cohesion and consistency of the information stored in the metrics repository which will be used to compare data of different projects. The paper presents the reference framework, illustrates the key role played by the metrics capturing process in a metrics program using a case study, and presents the striking features of SPDW+ and its ETL approach, as well as an evaluation based on a prototype implementation.
Year
DOI
Venue
2010
10.1007/s11219-009-9092-9
Software Quality Journal
Keywords
Field
DocType
Software quality metrics,Software metrics analysis and monitoring,Metrics data warehousing,Metrics repository,Software development environments
Data warehouse,Data collection,Architecture,Systems engineering,Computer science,Automation,Data extraction,Software development process,Software metric,Software development,Database
Journal
Volume
Issue
ISSN
18
2
0963-9314
Citations 
PageRank 
References 
1
0.37
28
Authors
3
Name
Order
Citations
PageRank
Patrícia Souza Silveira110.37
Karin Becker210611.38
Duncan Dubugras Alcoba Ruiz314615.54