Establishing a generic and multidimensional measurement repository in CMMI context

Palza, Edgardo; Fuhrman, Christopher; Abran, Alain

doi:10.1109/sew.2003.1270721

Cited by 18 publications

(19 citation statements)

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“…En [17] se propone MMR, que es una herramienta basada en el modelo CMMI para la evaluación de procesos software. Otras herramientas similares pueden consultarse en [18], [19], y [20].…”

Section: Trabajos Relacionadosunclassified

Software Generic Measurement Framework Based on MDA

Mora

García

Ruíz

et al. 2011

IEEE Latin Am. Trans.

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Currently, in order to obtain high quality software products it is necessary to carry out a good software processes management in which measurement is a fundamental factor. Due to the great diversity of entities involved in software measurement, a consistent framework to integrate the different entities in the measurement process is required. In this paper the Software Measurement Framework (SMF) is presented, which supports the measurement of any type of software entity through the metamodels which depict them. In this framework, any software entity in any domain could be measured with a common Software Measurement metamodel and by means of QVT transformations. This work explains the three fundamental elements of the Software Measurement Framework (conceptual architecture, technological aspects and method). These elements have all been adapted to the MDE paradigm and to MDA technology, taking advantage of their benefits within the field of software measurement. Furthermore an example which illustrates the framework's application to a concrete domain is furthermore shown.

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“…En [17] se propone MMR, que es una herramienta basada en el modelo CMMI para la evaluación de procesos software. Otras herramientas similares pueden consultarse en [18], [19], y [20].…”

Section: Trabajos Relacionadosunclassified

Software Generic Measurement Framework Based on MDA

Mora

García

Ruíz

et al. 2011

IEEE Latin Am. Trans.

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“…As mentioned, data warehousing environments represent the highest degree of integration and standardization (Becker et al 2006;Chulani et al 2003;Golfarelli et al 2004;Grigori et al 2004;Palza et al 2003;Ruiz et al 2005). It should be stressed that the granularity and freshness of the data stored in the repository determine the feasibility of the different analytical activities that can be performed.…”

Section: Measurement Scopementioning

confidence: 99%

“…The multidimensional measurement repository (MMR) tool was developed by Enterprise Performance Unit of Ericsson Research, Canada (Palza et al 2003). It proposes a generic, flexible, and integrated repository to collect, store, analyze, and report metrics, based on measurement requirements suggested by the CMMI model.…”

Section: Tests Conclusionmentioning

confidence: 99%

“…The highest degree of integration and standardization is represented by solutions based on data warehousing approaches, where metrics are structured according to a dimensional model (Kimball 1998). Data warehousing environments for the SDP metrics context are discussed by Becker et al (2006), Khoshgoftaar et al (2001), Palza et al (2003), Ruiz et al (2005) and Subramanyam and Sharma (1999). Data warehousing proposals for the more general context of business processes metrics can be found in papers by Casati et al (2006Casati et al ( , 2007, Castellanos et al (2006), Grigori et al (2004), Marjanovic (2007), and van der Aalst et al (2007).…”

Section: Introductionmentioning

confidence: 99%

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SPDW+: a seamless approach for capturing quality metrics in software development environments

Silveira

Becker²,

Ruiz

2010

Software Qual J

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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.

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“…However, a wider support is required to integrate the measurement process in the context of organizations' process improvement and there are not many tools which support the measurement process as a whole. With regard to this issue we observe tools such as MMR [29] which is based on the CMMI model for the evaluation of software processes. Others tools are based on measuring several kinds of entities by performing SQL queries on repositories [23] [14,30], but this kind of user interface can decrease their usability for novice database users.…”

Section: Related Workmentioning

confidence: 99%