Adapting Multi-Criteria Decision Analysis for Assessing the Quality of Software Products. Current Approaches and Future Perspectives

Trendowicz, Adam; Kopczyńska, Sylwia

doi:10.1016/b978-0-12-800162-2.00004-x

Cited by 8 publications

(7 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this section, we propose a systematic method for assessing the quality of software products. The method relies on the requirements we identified in a systematic literature review and a small industrial survey [69]. These requirements are briefly summarized in Table 4.…”

Section: Quality Assessment Methodsmentioning

confidence: 99%

Operationalised product quality models and assessment: The Quamoco approach

Wagner

Goeb²,

Heinemann³

et al. 2015

Information and Software Technology

Self Cite

View full text Add to dashboard Cite

Context Software quality models provide either abstract quality characteristics or concrete quality measurements; there is no seamless integration of these two aspects. Quality assessment approaches are, hence, also very specific or remain abstract. Reasons for this include the complexity of quality and the various quality profiles in different domains which make it difficult to build operationalised quality models. Objective In the project Quamoco, we developed a comprehensive approach aimed at closing this gap. Method The project combined constructive research, which involved a broad range of quality experts from academia and industry in workshops, sprint work and reviews, with empirical studies. All deliverables within the project were peer-reviewed by two project members from a different area. Most deliverables were developed in two or three iterations and underwent an evaluation. Results We contribute a comprehensive quality modelling and assessment approach: (1) A meta quality model defines the structure of operationalised quality models. It includes the concept of a product factor, which bridges the gap between concrete measurements and abstract quality aspects, and allows modularisation to create modules for specific domains. (2) A largely technology-independent base quality model reduces the effort and complexity of building quality models for specific domains. For Java and C# systems, we refined it with about 300 concrete product factors and 500 measures. (3) A concrete and comprehensive quality assessment approach makes use of the concepts in the meta-model. (4) An empirical evaluation of the above results using real-world software systems showed: (a) The assessment results using the base model largely match the expectations of experts for the corresponding systems. (b) The approach and models are well understood by practitioners and considered to be both consistent and well suited for getting an overall view on the quality of a software product. The validity of the base quality model could not be shown conclusively, however. (5) The extensive, open-source tool support is in a mature state. (6) The model for embedded software systems is a proof-of-concept for domain-specific quality models. Conclusion We provide a broad basis for the development and application of quality models in industrial practice as well as a basis for further extension, validation and comparison with other approaches in research

show abstract

Section: Quality Assessment Methodsmentioning

confidence: 99%

Operationalised product quality models and assessment: The Quamoco approach

Wagner

Goeb²,

Heinemann³

et al. 2015

Information and Software Technology

Self Cite

View full text Add to dashboard Cite

show abstract

“…Tradeoff-based and non-tradeoff-based methods: Also, types of weighting methods that are generally two types tradeoff-based and non-tradeoff-based methods are another way to distinguish MCDM problems' types [8].…”

Section: Multi-criteria Decision-making Categoriesmentioning

confidence: 99%

“…Decisions are different based on the type of problem that can include choice, ranking, and sorting problems [7,8] There are different ways to interpret solving an MCDM problem. The process can be considered as choosing the best (most preferred) alternative from an alternative's set.…”

mentioning

confidence: 99%

Multi-Criteria Decision Making (MCDM) Methods and Concepts

Taherdoost

Madanchian²

2023

Encyclopedia

244

View full text Add to dashboard Cite

Multi-criteria decision-making (MCDM) is one of the main decision-making problems which aims to determine the best alternative by considering more than one criterion in the selection process. MCDM has manifold tools and methods that can be applied in different fields from finance to engineering design. This entry aims to provide a survey on the MCDM concept, its applications, main categories, and different methods. The final section provides manifold information and statistics on the published works in the MCDM fields. Some of the main methods are also listed in this section.

show abstract

“…Таблиця особу, яка приймає рішення, щодо цього атрибута. Рішення відрізняються залежно від типу проблеми, яка може охоплювати проблеми вибору, ранжирування та сортування [15].…”

Section: концептуальні аспекти багатокритеріального прийняття рішень ...unclassified

Bankruptcy risk assessment of JSC Ukrtelecom

LAZORENKO,

NIKIFOROV

2023

nasoa

View full text Add to dashboard Cite

The current stage of economic development requires enterprises to constantly improve the efficiency of activities and strengthen their positions. The introduction of a bankruptcy risk assessment system of any enterprise is an integral condition for its successful operation. The issue of applying appropriate methods and models for assessing the risk of bankruptcy of enterprises and developing ways to overcome or prevent them in order to improve the efficiency of enterprises is especially relevant in the current conditions. The purpose of the study is assessing the bankruptcy risk of JSC Ukrtelecom and determining the ways to overcome and prevent it. One of the most important methods of the early warning system and the method of forecasting the bankruptcy of enterprises is discriminant analysis. The most famous model of one-factor discriminant analysis is Beaver’s system. In the practice of financial and economic activities of western firms, the five-factor Altman model is widely used to assess the risk of bankruptcy. The possibility of overcoming and preventing the risk of bankruptcy should be considered in conceptual and practical contexts. Today, the sphere of telecommunication services is quite developed and is highly efficient. But some enterprises in this industry still need constant monitoring and improvement of activities, since due to high competition they become unprofitable due to the use of outdated technologies or lack of demand for services. One of these enterprises is JSC Ukrtelecom, which in 2022 is unprofitable. According to the assessment of the risk of bankruptcy of JSC Ukrtelecom by three models, it is low and amounts to 15–20%. it is advisable to implement the following measures: attracting additional funds to restore the profitability of the enterprise; restructuring of debt obligations of the enterprise; revision and change of the pricing policy of the enterprise; changing the range of services provided by the enterprise; improving the technological component of service provision.

show abstract

Adapting Multi-Criteria Decision Analysis for Assessing the Quality of Software Products. Current Approaches and Future Perspectives

Cited by 8 publications

References 75 publications

Operationalised product quality models and assessment: The Quamoco approach

Operationalised product quality models and assessment: The Quamoco approach

Multi-Criteria Decision Making (MCDM) Methods and Concepts

Bankruptcy risk assessment of JSC Ukrtelecom

Contact Info

Product

Resources

About