Improving Requirement Prioritization and Traceability using Artificial Intelligence Technique for Global Software Development

Haider, Wasi; Hafeez, Yaser; Ali, Sadia Samar; Jawad, Muhammad; Ahmad, Fahad; Rafi, Muhammad Numan

doi:10.1109/inmic48123.2019.9022775

Cited by 10 publications

(2 citation statements)

References 16 publications

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“…This corresponds to 4.44% from the total extracted studies. References 10,12,13,18,27–92 are the final articles selected, while the QA scores assigned to each paper is shown in Appendix .…”

Section: Methodsmentioning

confidence: 99%

Success factors analysis for requirement elicitation in global software development paradigm: An empirical study

Yaseen

Ali

Mazhar

2022

J Software Evolu Process

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Requirement's elicitation is the process of gathering requirements from users, customers, and stakeholders using traditional or collaborative elicitation techniques. Software requirement gathering is a challenging task particularly in a Global Software Development (GSD) paradigm due to geographical distance, limited face to face meetings, time zone differences, and language and cultural barriers. As more companies begin to adopt GSD in order to save costs, the success factors need to be identified and evaluated in order to ensure a successful elicitation process. This paper offers an in‐depth analysis on success factors for requirement elicitation within GSD environment. First, all possible success factors are identified from the literature via a Systematic Literature Review (SLR). Next, these factors are evaluated by software industries via a questionnaire survey across different types and levels of experts, size of organizations, and from the client–vendor perspective. The relationships between the success factors and the survey results were evaluated using the Spearman's correlation coefficient. The results produced a 0.835 Spearman's correlation coefficient at significance level ρ = 0.000, which showed a strong positive correlation between the outcome of SLR and survey with no significant difference.

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Section: Methodsmentioning

confidence: 99%

Success factors analysis for requirement elicitation in global software development paradigm: An empirical study

Yaseen

Ali

Mazhar

2022

J Software Evolu Process

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“…Haider, W., et al [70] 2019 A framework for requirement prioritization and ranking and tracing for global software development (GSD) using the AI technique is proposed and discussed in this paper. supervised machine learning classifier using EMR data and applied the Random Forest approach.…”

mentioning

confidence: 99%

Use of Natural Language Processing in Software Requirements Prioritization – A Systematic Literature Review

Vijayakumar

Nethravathi

2021

IJAEML

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Purpose: Research involves the creation and implementation of new ideas by keeping the existing work as a foundation. The literature review done in this paper is to familiarise and to know about the domain of research to integrate the existing ideas with the new ones. Methodology: The literature that is required for this study is chosen from multiple secondary sources such as journals, conference proceedings, and web resources. All the pieces of literature are carefully studied and summarised. This is further used to arrive at Research agendas and Research gaps. Findings/Result: It has been observed and understood that Natural Language Processing (NLP) is a field involving analysis and processing of textual contents. It also requires Machine Learning Algorithms to support the processing. This combination has already been used in various domains, the important one being the health sector. EMR data is huge and NLP can successfully process and prioritize them in different dimensions. In that direction, the same concept and technology can be applied to Software Engineering also and Requirements can be prioritized. Originality: This literature review study is carried out using secondary data which is collected through various online sources. The information thus gathered will be used in the future to build upon existing theory and framework or build a new methodology. It is also seen that any conclusion or decision is not biased or unidirectional. A sincere effort is made to identify a research topic to carry out the research. Paper Type: Literature Review.

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Systematic Mapping: Artificial Intelligence Techniques in Software Engineering

2022

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Improving Requirement Prioritization and Traceability using Artificial Intelligence Technique for Global Software Development

Cited by 10 publications

References 16 publications

Success factors analysis for requirement elicitation in global software development paradigm: An empirical study

Success factors analysis for requirement elicitation in global software development paradigm: An empirical study

Use of Natural Language Processing in Software Requirements Prioritization – A Systematic Literature Review

Systematic Mapping: Artificial Intelligence Techniques in Software Engineering

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