Measurement program success factors revisited

Niessink, Frank; Vliet, Hans van

doi:10.1016/s0950-5849(01)00168-9

Cited by 41 publications

(13 citation statements)

References 21 publications

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“…SEI's PRIME initiative [16], like other proposals [17] [18] [19] seek a proficient way to integrate multiple models into a single model for representing the final 'process reference model' (PRM) that may be used to compare with the organizational BPM. Existing literature [20] [21] [22] highlights the common problems that occur in an improvement project. For example, lack of resources, time pressure, staff turnover, lack of support, lack of sponsorship, etc.…”

Section: The Three Waves and Most Recurrent Problemsmentioning

confidence: 99%

The LEGO strategy: Guidelines for a profitable deployment

Buglione

Wangenheim

McCaffery

et al. 2013

Computer Standards & Interfaces

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When dealing with improvements, organizations seek to find a break-even point for their applications as early as possible in order to maximize the return from their investment. However, in some cases such a strategy can lead to a long term failure by not realizing the full benefits, when focusing only on a short term. The LEGO (Living EnGineering prOcess) approach -a method for building your own process meta-model based on multiple inputs -is a way to make an organization more efficient and effective, optimizing resources, as well as time and costs through looking at its entire Business Process Model. This paper introduces the elements for designing a strategy for a more valuable deployment of a process improvement initiative, in order to optimize the choice of the models and elements to be considered as an input to the LEGO approach.

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Section: The Three Waves and Most Recurrent Problemsmentioning

confidence: 99%

The LEGO strategy: Guidelines for a profitable deployment

Buglione

Wangenheim

McCaffery

et al. 2013

Computer Standards & Interfaces

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“…Niessink and van Vliet 33 stress the need for the metric programs to generate value. In particular, they stress the need for a clear mapping from organizations needs to metric programs, measurement systems, and metrics (a top–down approach).…”

Section: Related Workmentioning

confidence: 99%

“…Since measurement systems are intended to support metric programs in organizations, the usual factors important for metric program adoption are also considered crucial, for example management commitment, dissemination, etc. 14, 32, 33, 39, 47–50.…”

Section: Developing Measurement Systems: Processmentioning

confidence: 99%

Developing measurement systems: an industrial case study

Staron

Meding

Karlsson

et al. 2011

J. Softw. Maint. Evol.: Res. Pract.

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The process of measuring in software engineering has already been standardized in the ISO/IEC 15939 standard, where activities related to identifying, creating, and evaluating of measures are described. In the process of measuring software entities, however, an organization usually needs to create custom measurement systems, which are intended to collect, analyze, and present data for a specific purpose. In this paper, we present a proven industrial process for developing measurement systems including the artifacts and deliverables important for a successful deployment of measurement systems in industry. The process has been elicited during a case study at Ericsson and is used in the organization for over 3 years when the paper was written. The process is supported by a framework that simplifies the implementation of the measurement systems and shortens the time from the initial idea to a working measurement system by the factor of 5 compared with using a standard development process not tailored for measurement systems.

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“…ISO/IEC 15939). Niessink and van Vliet emphasized the importance of the mapping, stating that "a value-generating measurement program requires the attention be given to the proper mapping of some identifiable organizational problem or goal onto the measurement program, and a translation back of measurement results to organizational actions" [13]. This paper proposes a Decision Support Framework for Metrics Selection built upon the widely used GQM approach (GQM-DSFMS).…”

Section: Introductionmentioning

confidence: 99%

A decision support framework for metrics selection in goal-based measurement programs: GQM-DSFMS

Gencel

Petersen

Mughal

et al. 2013

Journal of Systems and Software

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Software organisations face challenges in managing and sustaining their measurement programs over time. The complexity of measurement programs increase with exploding number of goals and metrics to collect. At the same time, organizations usually have limited budget and resources for metrics collection. It has been recognized for quite a while that there is the need for prioritizing goals, which then ought to drive the selection of metrics. On the other hand, the dynamic nature of organisations require measurement programs to adapt to changes in the stakeholders, their goals, information needs and priorities. Therefore, it is crucial for organisations to use structured approaches that provide transparency, traceability and guidance in choosing an optimum set of metrics that would address the highest priority information needs considering limited resources. This paper proposes a decision support framework for metrics selection (DSFMS) which is built upon the widely-used Goal Question Metric (GQM) approach. The core of the framework includes an iterative goal-based metrics selection process incorporating decision making mechanisms in metrics selection, a pre-defined attributes/metrics repository, and a traceability model among GQM elements. We also discuss alternative prioritization and optimization techniques for organizations to tailor the framework according to their needs. The evaluation of the GQM-DSFMS framework was done through a case study in a CMMI Level 3 software company.

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Measurement program success factors revisited

Cited by 41 publications

References 21 publications

The LEGO strategy: Guidelines for a profitable deployment

The LEGO strategy: Guidelines for a profitable deployment

Developing measurement systems: an industrial case study

A decision support framework for metrics selection in goal-based measurement programs: GQM-DSFMS

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