Jalil Abbas^1,*, Arshad Ahmad², Syed Muqsit Shaheed³, Rubia Fatima⁴, Sajid Shah⁵, Mohammad Elaffendi⁵, Gauhar Ali⁵

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2839-2855, 2024, DOI:10.32604/cmc.2024.052218 - 15 August 2024

Abstract The software development process mostly depends on accurately identifying both essential and optional features. Initially, user needs are typically expressed in free-form language, requiring significant time and human resources to translate these into clear functional and non-functional requirements. To address this challenge, various machine learning (ML) methods have been explored to automate the understanding of these requirements, aiming to reduce time and human effort. However, existing techniques often struggle with complex instructions and large-scale projects. In our study, we introduce an innovative approach known as the Functional and Non-functional Requirements Classifier (FNRC). By combining the… More >

Maysoon Aldekhail¹, Marwah Almasri^2,*

Computer Systems Science and Engineering, Vol.40, No.2, pp. 469-489, 2022, DOI:10.32604/csse.2022.018269 - 09 September 2021

Abstract Considerable research has demonstrated how effective requirements engineering is critical for the success of software projects. Requirements engineering has been established and recognized as one of the most important aspects of software engineering as of late. It is noteworthy to mention that requirement consistency is a critical factor in project success, and conflicts in requirements lead to waste of cost, time, and effort. A considerable number of research studies have shown the risks and problems caused by working with requirements that are in conflict with other requirements. These risks include running overtime or over budget,… More >

Mohammed Lafi^1,*, Bilal Hawashin², Shadi AlZu’ bi³

CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 99-116, 2021, DOI:10.32604/cmes.2021.013026 - 30 March 2021

Abstract Most software systems have different stakeholders with a variety of concerns. The process of collecting requirements from a large number of stakeholders is vital but challenging. We propose an efficient, automatic approach to collecting requirements from different stakeholders’ responses to a specific question. We use natural language processing techniques to get the stakeholder response that represents most other stakeholders’ responses. This study improves existing practices in three ways: Firstly, it reduces the human effort needed to collect the requirements; secondly, it reduces the time required to carry out this task with a large number of More >

Qiang Zhi^1,*, Shuji Morisaki²

Computer Systems Science and Engineering, Vol.37, No.3, pp. 443-461, 2021, DOI:10.32604/csse.2021.015157 - 08 March 2021

Abstract A software requirements specification (SRS) is a detailed description of a software system to be developed. This paper proposes and evaluates a lightweight review approach called value-oriented review (VOR) to detect defects in SRS. This approach comprises setting core values based on SRS and detecting the defects disturbing the core values. To evaluate the effectiveness of the proposed approach, we conducted a controlled experiment to investigate whether reviewers could identify and record the core values based on SRS and find defects disturbing the core values. Results of the evaluation with 56 software engineers showed that More >