A framework for developing measurement systems and its industrial evaluation

Staron, Miroslaw; Meding, Wilhelm; Nilsson, Christer

doi:10.1016/j.infsof.2008.10.001

Cited by 74 publications

(35 citation statements)

References 22 publications

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“…The organization uses a number of measurement systems for controlling the software development project (per project) described above, a number of measurement systems to control the quality of products in field (per product) and a measurement system for monitoring the status of the organization at the top level. All measurement systems are developed using the in-house methods described in [SMN08], with the particular emphasis on models for design and deployment of measurement systems presented in [SM09c]. The needs of the organization evolved from metrics calculations and presentations (ca.…”

Section: Value Propositionsmentioning

confidence: 99%

“…A gadget is used as a placeholder for the content on the stakeholders' computer, but the information itself is served through the metric infrastructure [SMN09]. An example of such a gadget is presented in fig.…”

Section: On-demand Delivery -Ms Sidebar Gadgetsmentioning

confidence: 99%

“…As prescribed by the ISO/IEC 15939 (Systems and Software Engineering -Measurement Processes) standard [OC07,SMN08] the measurement programs should include the set of measurement systems and the infrastructure supporting building and disseminating the knowledge base of software measurement.…”

Section: Introductionmentioning

confidence: 99%

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Measurement-as-a-Service – A New Way of Organizing Measurement Programs in Large Software Development Companies

Staron

Meding

2015

Software Measurement

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Abstract. Modern software development companies focus on their primary business objectives, delivering customer value and customer satisfaction which often leads to prioritization of core business areas over such areas as measurement. Although the companies recognize the need and importance of software measurement, they often do not have the competence and/or time to focus on software measurement. In this paper we address the challenge of optimizing the measurement processes in modern companies by using cloud computing and by providing measurement (process) as a service for core business of the companies. Similar to the concept of Software-as-a-Service we define the concept Measurementas-a-Service and describe how to organize a measurement program according to this definition. The Measurement-as-a-Service concept is wellaligned with measurement programs developed according to ISO/IEC 15939 and can help the companies to increase the benefits obtained from the efficient use of metrics.

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Section: Value Propositionsmentioning

confidence: 99%

Section: On-demand Delivery -Ms Sidebar Gadgetsmentioning

confidence: 99%

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Measurement-as-a-Service – A New Way of Organizing Measurement Programs in Large Software Development Companies

Staron

Meding

2015

Software Measurement

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“…Indeed, it must address the following requirements: the automation of measurement, the integration into a modeling tool, the need for extensibility and tailoring, etc. In all, the order of magnitude of the cost of model measurement software is several man-months [28,50].…”

Section: Introductionmentioning

confidence: 99%

Model-driven generative development of measurement software

et al. 2010

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Metrics offer a practical approach to evaluate properties of domain-specific models. However, it is costly to develop and maintain measurement software for each domain specific modeling language. In this paper, we present a model-driven and generative approach to measuring models. The approach is completely domain-independent and operationalized through a prototype that synthesizes a measurement infrastructure for a domain specific modeling language. This model-driven measurement approach is model-driven from two viewpoints: 1) it measures models of a domain specific modeling language; 2) it uses models as unique and consistent metric specifications, w.r.t. a metric specification metamodel which captures all the necessary concepts for model-driven specifications of metrics. The benefit from applying the approach is evaluated by four case studies. They indicate that this approach significantly eases the measurement activities of model-driven development processes.

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“…Several (Abran et al, 2003;Staron, Meding, & Nilsson, 2009) have studied differences in these standards, some (Bundschuh & Dekkers, 2008;García et al, 2006;García et al, 2009) 4.33, 20926:2003, 14598-1:1999, 24765, 14102:1995, 15939:2002, 19500-2:2003, 19761:2003, and IEEE standards (Bundschuh & Dekkers, 2008.…”

Section: Iso and Ieee Standardsmentioning

confidence: 99%

Quality of semantic standards

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A framework for developing measurement systems and its industrial evaluation

Cited by 74 publications

References 22 publications

Measurement-as-a-Service – A New Way of Organizing Measurement Programs in Large Software Development Companies

Measurement-as-a-Service – A New Way of Organizing Measurement Programs in Large Software Development Companies

Model-driven generative development of measurement software

Quality of semantic standards

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