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The Strategic Role of Systems and Software Quality
Published in Ron S. Kenett, Emanuel R. Baker, Process Improvement and CMMI® for Systems and Software, 2010
Ron S. Kenett, Emanuel R. Baker
The GQM (Goal/Question/Metric) method is a goal-oriented approach that can be used to manage the whole measurement process. Its common application is in the field of systems process and product measurement (see [6, 18] and http://ivs.cs.uni-magdeburg.de/sw-eng/us/java/GQM/). GQM aims at evaluating the achievement of goals by making them measurable. Therefore, metrics are needed that become evident through asking the questions that are necessary to verify the goal. You start off by making up a list of goals that should be evaluated and ask the relevant questions. Then, collect metrics that have been identified as answering the questions used for evaluating the achievement of the goal. The GQM approach can be used as a systematic way to tailor and integrate process measurement’s objectives into measurement goals and refine them into measurable values (see Figure 1.7).
Requirements Validations and Verifications
Published in Phillip A. Laplante, Mohamad H. Kassab, Requirements Engineering for Software and Systems, 2022
Phillip A. Laplante, Mohamad H. Kassab
We previously mentioned the importance of uncovering stakeholder goals in Chapter 2 and the use of goal-based analysis for requirements V&V in Chapter 3. But how can we generate the metrics that we need? The goal/question/metric (GQM) paradigm is an analysis technique that helps in the selection of an appropriate metric.
Requirements Risk Management
Published in Phillip A. Laplante, Requirements Engineering for Software and Systems, 2017
We previously mentioned the importance of uncovering stakeholder goals in Chapter 2 and the use of goal-based analysis for requirements V&V in Chapter 3. But how can we generate the metrics that we need? The goal/question/metric (GQM) paradigm is an analysis technique that helps in the selection of an appropriate metric.
An Evaluation Framework for User Experience Using Eye Tracking, Mouse Tracking, Keyboard Input, and Artificial Intelligence: A Case Study
Published in International Journal of Human–Computer Interaction, 2022
Kennedy Edson Silva de Souza, Igor Leonardo de Aviz, Harold Dias de Mello, Karla Figueiredo, Marley Maria Bernardes Rebuzzi Vellasco, Fernando Augusto Ribeiro Costa, Marcos César da Rocha Seruffo
Table 1 shows previous frameworks focused on certain UX dimensions and aspects based on selective survey. It is highlighted that Tan et al. (2013) have developed a UX framework that focuses on user needs and its related aspects: hedonic and pragmatic. Their framework is based on a selected survey and Goal Question Metric (GQM) paradigm, which is based on the assumption that for an organization to perform a measurement, it must first specify the goals for itself and its projects, then it must trace those goals to the data that are intended to define those goals operationally, and finally provide a framework for interpreting the data to understand the goal, according to Basili (1992).
An initial investigation of the effect of quality factors on Agile test case quality through experts’ review
Published in Cogent Engineering, 2022
Samera Obaid Barraood, Haslina Mohd, Fauziah Baharom
The recent studies that tried to identify the factors of TCQ based on the practitioner perspective are conducted by (Adlemo et al., 2018; Jovanovikj et al., 2018; Kochhar et al., 2019; Tran et al., 2019). Juhnke et al. (2018) conducted a study related to the quality model of test case specifications. Juhnke identified seven quality indicators of informal test case specifications in the automotive domain from 816 test case specifications as a case study specified by an OEM and suppliers. A test case specification contains a set of test cases necessary to adequately test a particular test object according to defined test objectives. They have conducted another study in Juhnke et al. (2021), which identified nine groups of test case specification challenges. The study lists comprehensibility, unambiguity, completeness, uniformity, atomicity, and suitability for the respective test platform as the factors of test case specification quality. Their model focuses on automotive-specific test case specifications; thus, the model may not be suitable for any other domains. Jovanovikj et al. (2018) proposed an approach called TCQP, a quality plan for evaluating the usability of test cases with appropriate tool support. They proposed four quality factors (i.e., usability, maintainability, reusability, and test effectivity) with four quality criteria (understandability, analysability, comprehensibility, and fault-revealing capability). They defined metrics by using the GQM approach. However, other quality factors and criteria for the test cases are conspicuously missing in their study. Kochhar et al. (2019) provided 29 attributes from practitioners’ reviews related to the sound test cases which they grouped into six factors: content, size, complexity, coverage, maintainability, and bug detection.
Digital twins in manufacturing: systematic literature review for physical–digital layer categorization and future research directions
Published in International Journal of Computer Integrated Manufacturing, 2022
Murat Atalay, Ugur Murat, Busra Oksuz, Ayse Merve Parlaktuna, Erhan Pisirir, Murat Caner Testik
Goal-Question-Metric (GQM) method is utilized (Basili 1992; Van Solingen et al. 2002) to define the RQs and metrics to answer them. Using the GQM approach, the following main goals are defined for this review. To reach the main goals, 12 RQs are raised: