CQML Scheme: A Classification Scheme for Comprehensive Quality Model Landscapes

Kläs, Michael; Heidrich, Jens; Münch, Jürgen; Trendowicz, Adam

doi:10.1109/seaa.2009.88

Cited by 29 publications

(21 citation statements)

References 14 publications

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“…In general, quality models can serve different application purposes, such as specifying, measuring, assessing, improving, managing and predicting quality [6]. While this article focus on the benefits of the DQM for assessing and improving design, the discussion of applying DQM to two software products strengthens our confidence that it contributes to a better understanding and characterization of design principles.…”

Section: Discussionmentioning

confidence: 97%

“…Kläs et al argue the importance of classifying quality models to support quality managers in selecting and adapting quality models that are relevant for them [6]. For a classification, the authors differ between the underlying conceptual constructs of quality models as result of their specific application and measuring purposes.…”

Section: Introduction and Research Methodsmentioning

confidence: 99%

“…For several decades, these kinds of models have been a research topic resulting in a large number thereof [6]. First insights in this field were shown by Boehm et al who described quality characteristics and their decomposition in the late 1970s [15].…”

Section: Related Work About Quality Models For Object-oriented Designmentioning

confidence: 99%

See 2 more Smart Citations

Measuring, Assessing and Improving Software Quality based on Object-Oriented Design Principles

Plösch

Bräuer

Körner

et al. 2016

Open Computer Science

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Good object-oriented design is crucial for a successful software product. Metric-based approaches and the identification of design smells are established concepts for identifying design flaws and deriving design improvements thereof. Nevertheless, metrics are difficult to use for improvements as they provide only weak guidance and are difficult to interpret. Thus, this paper proposes a novel design quality model (DQM) based on fundamental object-oriented design principles and best practices. In course of discussing DQM, the paper provides a contribution in three directions: (1) it shows how to measure design principles automatically, (2) then the measuring result is used to assess the degree of fulfilling object-oriented design principles, (3) and finally design improvements of identified design flaws in object-oriented software are derived. Additionally, the paper provides an overview of the research area by explaining terms used to describe designrelated aspects and by depicting the result of a survey on the importance of object-oriented design principles. The underlying concepts of the DQM are explained before it is applied on two open-source projects in the format of a case study. The qualitative discussion of its application shows the advantages of the automated design assessment that can be used for guiding design improvements.

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Section: Discussionmentioning

confidence: 97%

Section: Introduction and Research Methodsmentioning

confidence: 99%

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Measuring, Assessing and Improving Software Quality based on Object-Oriented Design Principles

Plösch

Bräuer

Körner

et al. 2016

Open Computer Science

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“…The scheme presented in Kläs et al (2009) Based on the work in Kläs et al (2009), the following subsections give further insights into what structural components of models look like (dimension a), discuss the specification of quality modeling goals (dimension b), and describe quality model landscapes as a means for systematically selecting suitable models (based on dimensions a-f). Figure 6.3 depicts a graphical illustration of typical structural components of quality models.…”

Section: Selecting the Right Quality Modelsmentioning

confidence: 99%

Model-Based Quality Management of Software Development Projects

Heidrich

Rombach

Kläs

2014

Software Project Management in a Changing World

Self Cite

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Managing the quality of artifacts created during the development process is an integral part of software project management. Software quality models capture the knowledge and experience regarding the quality characteristics of interest, the measurement data that can help to reason about them, and the mechanisms to use for characterizing and assessing software quality. They are the foundation for managing software quality in projects in an evidence-based manner. Nowadays, coming up with suitable quality models for an organization is still a challenging endeavor. This chapter deals with the definition and usage of software quality models for managing software development projects and discusses different challenges and solutions in this area. The challenges are: (1) There is no universal model that can be applied in every environment because quality is heavily dependent on the application context. In practice and research, a variety of different quality models exists. Finding the "right" model requires a clear picture of the goals that should be obtained from using the model. (2) Quality models need to be tailored to company specifics and supported by corresponding tools. Existing standards (such as the ISO/IEC 25000 series) are often too generic and hard to fully implement in an organization. (3) Practitioners require a comprehensive set of techniques, methods, and tools for systematically specifying, adapting, and applying quality models in practice. (4) In order to create sustainable quality models, their contribution to the organizational goals must be clarified, and the models need to be integrated into the development and decision-making processes.

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“…However, making no assumptions about the underlying structure of the QMs that should be adapted would avoid the operationalization of the adaptation method; therefore, we assume that the adapted QM should conform to the structure and consistency rules defined by the Quamoco quality meta-model [19]. This meta-model was developed in a joint effort by academic and industrial partners in a publicly funded project and addresses all conceptual elements recommended in [18] for specifying and assessing software quality. Recent empirical evaluations have shown that the meta-model is general enough to describe many different QMs applied in practice [19] and specific enough to define QMs that can be used for valid product quality evaluations [21].…”

Section: Introductionmentioning

confidence: 99%

Adapting Software Quality Models: Practical Challenges, Approach, and First Empirical Results

Kläs

Lampasona

Münch

2011

2011 37th EUROMICRO Conference on Software Engineering and Advanced Applications

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Abstract-Measuring and evaluating software quality has become a fundamental task. Many models have been proposed to support stakeholders in dealing with software quality. However, in most cases, quality models do not fit perfectly for the target application context. Since approaches for efficiently adapting quality models are largely missing, many quality models in practice are built from scratch or reuse only high-level concepts of existing models. We present a tool-supported approach for the efficient adaptation of quality models. An initial empirical investigation indicates that the quality models obtained applying the proposed approach are considerably more consistently and appropriately adapted than those obtained following an ad-hoc approach. Further, we could observe that model adaptation is significantly more efficient (~factor 8) when using this approach.

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CQML Scheme: A Classification Scheme for Comprehensive Quality Model Landscapes

Cited by 29 publications

References 14 publications

Measuring, Assessing and Improving Software Quality based on Object-Oriented Design Principles

Measuring, Assessing and Improving Software Quality based on Object-Oriented Design Principles

Model-Based Quality Management of Software Development Projects

Adapting Software Quality Models: Practical Challenges, Approach, and First Empirical Results

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