Decision spaces in product lines, decision analysis, and design exploration

Mjeda, Anila; Wasala, Asanka; Botterweck, Goetz

doi:10.1145/3023956.3023968

Cited by 3 publications

(4 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Software products can be seen from various perspectives (e.g., development cost, reliability, performance). Therefore, by considering each of the perspectives as independent objectives, feature selection in SPL is a suitable candidate for MOO [14].…”

Section: Multi-objective Optimisationmentioning

confidence: 99%

“…MCDA deals with decision-making constrained by multiple and often conflicting criteria (or objectives or goals). MCDA has been broadly divided into two categories [14]: (i) Outranking Methods: builds a preference relation, and (ii) Multiple Attribute Utility and Value Theory: the 'utility' of every action is scored based on its utility.…”

Section: Multi-criteria Decision Analysismentioning

confidence: 99%

“…Multi-objective optimisation techniques result in a set of non-dominated products/solutions from which decision-makers select the product that fits their preferences the most. Given that the number of solutions in the set of nondominated solutions is often large and that preferences of decision-makers are often complex, decision-makers are usually assisted by Multi-Criteria Decision Analysis (MCDA) tools to accomplish this task [14]. There exist multiple MCDA techniques that take decision-makers' preferences (each of them with its degree of preference expressibility) and return the product that match them the most.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Incorporating User Preferences in Multi-objective Feature Selection in Software Product Lines Using Multi-Criteria Decision Analysis

Saber

Bendechache

Ventresque

2021

Communications in Computer and Information Science

View full text Add to dashboard Cite

Software Product Lines Engineering has created various tools that assist with the standardisation in the design and implementation of clusters of equivalent software systems with an explicit representation of variability choices in the form of Feature Models, making the selection of the most ideal software product a Feature Selection problem. With the increase in the number of properties, the problem needs to be defined as a multi-objective optimisation where objectives are considered independently one from another with the goal of finding and providing decision-makers a large and diverse set of non-dominated solutions/products. Following the optimisation, decision-makers define their own (often complex) preferences on how does the ideal software product look like. Then, they select the unique solution that matches their preferences the most and discard the rest of the solutions-sometimes with the help of some Multi-Criteria Decision Analysis technique. In this work, we study the usability and the performance of incorporating preferences of decision-makers by carrying-out Multi-Criteria Decision Analysis directly within the multi-objective optimisation to increase the chances of finding more solutions that match preferences of the decision-makers the most and avoid wasting execution time searching for non-dominated solutions that are poor with respect to decision-makers' preferences.

show abstract

Section: Multi-objective Optimisationmentioning

confidence: 99%

Section: Multi-criteria Decision Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Incorporating User Preferences in Multi-objective Feature Selection in Software Product Lines Using Multi-Criteria Decision Analysis

Saber

Bendechache

Ventresque

2021

Communications in Computer and Information Science

View full text Add to dashboard Cite

show abstract

“…Besides that, Upadhyay et al [15] implemented the TOPSIS technique in their proposed framework to reincorporate the complex domains composed of diverse internal and external factors in the software architecture evaluation process to obtain user's requirements satisfaction. An in-depth interdisciplinary exploratory study conducted by Mjeda et al [16] showed that several MCDA techniques could be used to improve SPLE approaches. Other than that, Bouayad et al [17] used AHP, a multi-criteria decision analysis (MCDA) method that aids a decision-maker decide and choose the organization's best suitable framework.…”

Section: Mcda Techniques In Architecture Selectionmentioning

confidence: 99%

Quality Driven Approach for Product Line Architecture Customization in Patient Navigation Program Software Product Line

2021

KSII TIIS

View full text Add to dashboard Cite

Patient Navigation Program (PNP) is considered as an important implementation of health care systems that can assist in patient's treatment. Due to the feasibility of PNP implementation, a systematic reuse is needed for a wide adoption of PNP computerized system. SPL is one of the promising systematic reuse approaches for creating a reusable architecture to enabled reuse in several similar applications of PNP systems which has its own variations with other applications. However, stakeholder decision making which result from the imprecise, uncertain, and subjective nature of architecture selection based on quality attributes (QA) further hinders the development of the product line architecture. Therefore, this study aims to propose a quality-driven approach using Multi-Criteria Decision Analysis (MCDA) techniques for Software Product Line Architecture (SPLA) to have an objective selection based on the QA of stakeholders in the domain of PNP. There are two steps proposed to this approach. First, a clear representation of quality is proposed by extending feature model (FM) with QA feature to determine the QA in the early phase of architecture selection. Second, MCDA techniques were applied for architecture selection based on objective preference for certain QA in the domain of PNP. The result of the proposed approach is the implementation of the PNP system with SPLA that had been selected using MCDA techniques. Evaluation for the approach is done by checking the approach's applicability in a case study and stakeholder validation. Evaluation on ease of use and usefulness of the approach with selected stakeholders have shown positive responses. The evaluation results proved that the proposed approach assisted in the implementation of PNP systems.

show abstract

Software Product Lines with Design Choices: Reasoning about Variability and Design Uncertainty

Famelis

Rubin

Czarnecki

et al. 2017

2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS)

View full text Add to dashboard Cite

Decision spaces in product lines, decision analysis, and design exploration

Cited by 3 publications

References 41 publications

Incorporating User Preferences in Multi-objective Feature Selection in Software Product Lines Using Multi-Criteria Decision Analysis

Incorporating User Preferences in Multi-objective Feature Selection in Software Product Lines Using Multi-Criteria Decision Analysis

Quality Driven Approach for Product Line Architecture Customization in Patient Navigation Program Software Product Line

Software Product Lines with Design Choices: Reasoning about Variability and Design Uncertainty

Contact Info

Product

Resources

About