Software requirement prioritization using fuzzy multi-attribute decision making

Powers

2019

IFS

Owing to resource constraints, the existing prioritization and selection techniques for software security requirements (countermeasures) find a subset of higher-priority security requirements ignoring lowerpriority requirements or postponing them to the future releases. Ignoring or postponing security requirements however, may on one hand leave some of the security threats (vulnerabilities) unattended and on the other hand influence other security requirements that rely on the ignored or postponed requirements. To address this, we have proposed considering partial satisfaction of security requirements when tolerated rather than ignoring those requirements or postponing them to the future. In doing so, we have contributed a goal-based framework that enables prioritization and partial selection of security requirements with respect to security goals. The proposed framework helps reduce the number of ignored (postponed) security requirements and consequently reduce the adverse impacts of ignoring security requirements in software products.

Section: Fuzzificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A fuzzy framework for prioritization and partial selection of security requirements in software projects

Powers

2019

IFS

“…using fuzzy variables rather than using pure ISSN: 2348 -8387 www.internationaljournalssrg.org Page 80 value). This provides a mathematical means and requires approximation of the expected values to get ranking fuzzy numbers, that indicates the importance of those requirements [47] [48].…”

Section: VIImentioning

confidence: 99%

Considering Stakeholders’ Feedback in Requirements Prioritization using Social Network Analysis

Hamad¹,

El‐Sayed²,

Abdelmoez³

et al. 2016

IJCSE

Requirements prioritization plays a significant role to ensure successful planning of software releases. It helps software stakeholders to discover the most desirable requirements. In this paper, we propose requirements prioritization approach using social network analysis based on stakeholders' feedback. The social network models the relationships among stakeholders, their feedback and the system requirements. A string-matching algorithm is used to automate the discovery process of the relationship between stakeholders' feedbacks and requirements specifications based on text similarity. Then, the network is analysed to identify the priority of requirements depending on relevant groups of stakeholders and their feedbacks. As an attempt to validate the results, focus group is conducted to discover the relationship between the stakeholders' feedbacks and the requirements by manually matching each feedback with its related system requirement. Then, social network is built based on the results of the focus group and the system requirements are prioritized based on the network. The results of the two approaches are compared. The experimental results proved that there is a difference between the approach that uses string-matching and the focus group approach. The string-matching approach does not seem to be very appropriate in capturing the real relationship between the stakeholders' feedbacks and the requirements.

2019 26th Asia-Pacific Software Engineering Conference (APSEC)

“…In addition, the Analytic Hierarchy Process (AHP) is one of the most discussed prioritization approaches in the research community and is actively being used for RP [7][8] [9]. The use of fuzzy logic-based techniques for prioritization of requirements has also been investigated in the literature (e.g., [9] [10]). Unfortunately, most of the existing techniques are only focusing on prioritizing conflict-free requirements (for instance in [11]) and in many cases, these approaches are ignoring requirements interdependencies (e.g., [7] [12][13] [14]).…”

Section: Introductionmentioning

confidence: 99%

MBRP: Model-Based Requirements Prioritization Using PageRank Algorithm

Abbas

Inayat

Jan

et al. 2019

Requirements prioritization plays an important role in driving project success during software development. Literature reveals that existing requirements prioritization approaches ignore vital factors such as interdependency between requirements. Existing requirements prioritization approaches are also generally time-consuming and involve substantial manual effort. Besides, these approaches show substantial limitations in terms of the number of requirements under consideration. There is some evidence suggesting that models could have a useful role in the analysis of requirements interdependency and their visualization, contributing towards the improvement of the overall requirements prioritization process. However, to date, just a handful of studies are focused on model-based strategies for requirements prioritization, considering only conflict-free functional requirements. This paper uses a meta-model-based approach to help the requirements analyst to model the requirements, stakeholders, and inter-dependencies between requirements. The model instance is then processed by our modified PageRank algorithm to prioritize the given requirements. An experiment was conducted, comparing our modified PageRank algorithm's efficiency and accuracy with five existing requirements prioritization methods. Besides, we also compared our results with a baseline prioritized list of 104 requirements prepared by 28 graduate students. Our results show that our modified PageRank algorithm was able to prioritize the requirements more effectively and efficiently than the other prioritization methods.