Quality attributes use in architecture design decision methods: research and practice

Lytra, Ioanna; Canal, Carlos; Capilla, Rafael; Zdun, Uwe

doi:10.1007/s00607-019-00758-9

Cited by 12 publications

(7 citation statements)

References 54 publications

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“…Second, the studied papers are only publicly reachable papers written in English or Turkish, and there may exist relevant papers not publicly available or not written in English or Turkish. Software quality attributes research has been gaining the attention of researchers on various subjects such as software systems development [4][5][6], software maintenance and testing [7], software quality models [8], software architecture [9], selection and prioritization of quality attributes [10], and trade-offs and relations among quality attributes [11]. In particular, this paper aims to present a software quality attribute-oriented literature review for crisis software systems and applications.…”

Section: Review Methods and Limitationsmentioning

confidence: 99%

Prominent quality attributes of crisis software systems: a literature review

Aydin¹

2020

Turk J Elec Eng & Comp Sci

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Developing software systems to meet user-demanded functionality is critical. Achieving the design goals by providing the needed functionality is a necessary task, and it is about figuring out a proper set of quality attributes and implementing each one by reflecting a complete set of quality attributes. This study presents popular quality attributes of crisis software systems by conducting a literature review. Each crisis software system has been studied by concentrating on crisis management phases where the system is used, design purposes, and the data processing style. The findings of this research shed light on the crisis software development process by presenting a quality attribute-oriented perspective, addressing design challenges, and recommending to developers remedies to handle challenges.

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Section: Review Methods and Limitationsmentioning

confidence: 99%

Prominent quality attributes of crisis software systems: a literature review

Aydin¹

2020

Turk J Elec Eng & Comp Sci

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“…The confidence that stakeholders may have in architecture evaluations depends on the technique used and the skills of the evaluators. For instance, regarding the evaluation of the adequacy of an architecture decision 25,26 for a specific requirement (i.e., how well the architecture of a system is suited for the purpose), Knodel and Naab 5 discuss that the technique used to evaluate the adequacy of the architecture with respect to a requirement is influenced by the effort needed to perform the evaluation, and by the confidence of the evaluation results (cf. Figure 1).…”

Section: State‐of‐the‐art and State‐of‐the‐practicementioning

confidence: 99%

Continuous engineering for Industry 4.0 architectures and systems

Antonino

Capilla²,

Kazman

et al. 2022

Softw Pract Exp

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Traditionally, the quality of a software or system architecture has been evaluated in the early stages of the development process using architecture quality evaluation methods. Emergent approaches like Industry 4.0 require continuous monitoring of both run‐time and development‐time quality properties, in contrast to traditional systems where quality is evaluated at specific milestones using techniques such as project reviews. Considering the dynamics and minimum down‐time imposed by the industrial production domain, it must also be ensured that Industry 4.0 system evaluations are continuously performed with high confidence and with as much automation as possible, using simulations, for instance. In this regard, there is a need to develop new methods for continuously monitoring and evaluating the quality properties of software‐based systems for Industry 4.0, which must be supported by automated quality evaluation techniques. In this research we analyze traditional architecture evaluation methods and Industry 4.0 scenarios, and propose an approach based on Digital Twins and simulations to continuously evaluate runtime quality aspects of the architecture and systems of industrial production plants. The evaluation is based on the instantiation of our approach for a concrete demand of an automation plant in the automotive domain.

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“…For decades of architectural knowledge research [31], [32], it has been maintained that quality attributes and their metrics are critical during the decision-making process [33]. Software architects play an important role in the decision-making practice, but they are biased in the course of the process [34], [35].…”

Section: A Software Architecturesmentioning

confidence: 99%

Classifying Model-View-Controller Software Applications Using Self-Organizing Maps

2021

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The new era of information and the needs of our society require continuous change in software and technology. Changes are produced very quickly and software systems require evolving at the same velocity, which implies that the decision-making process of software architectures should be (semi-)automated to satisfy changing needs and to avoid wrong decisions. This issue is critical since suboptimal architecture design decisions may lead to high cost and poor software quality. Therefore, systematic and (semi-)automated mechanisms that help software architects during the decision-making process are required. Architectural patterns are one of the most important features of software applications, but the same pattern can be implemented in different ways, leaving to results of different quality. When an application requires to evolve, knowledge extracted from similar applications is useful for driving decisions, since quality pattern implementations can be reproduced in similar applications to improve specific quality attributes. Therefore, clustering methods are especially suitable for classifying similar pattern implementations. In this paper, we apply a novel unsupervised clustering technique, based on the well-known artificial neural network model Self-Organizing Maps, to classify Model-View-Controller (MVC) pattern from a quality point of view. Software quality is analyzed by 24 metrics organized into the categories of Count/Size, Maintainability, Duplications, Complexity, and Design Quality. The main goal of this work is twofold: to identify the quality features that establish the similarity of MVC applications without software architect bias, and to classify MVC applications by means of Self-Organizing Maps based on quality metrics. To that end, this work performs an exploratory study by conducting two analyses with a dataset of 87 Java MVC applications characterized by the 24 metrics and two attributes that describe the technology dimension of the application. The stated findings provide a knowledge base that can help in the decision-making process for the architecture of Java MVC applications.

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Quality attributes use in architecture design decision methods: research and practice

Cited by 12 publications

References 54 publications

Prominent quality attributes of crisis software systems: a literature review

Prominent quality attributes of crisis software systems: a literature review

Continuous engineering for Industry 4.0 architectures and systems

Classifying Model-View-Controller Software Applications Using Self-Organizing Maps

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