Machine learning for software engineering: A tertiary study
Machine learning (ML) techniques increase the effectiveness of software engineering (SE)
lifecycle activities. We systematically collected, quality-assessed, summarized, and …
lifecycle activities. We systematically collected, quality-assessed, summarized, and …
Machine learning in requirements elicitation: A literature review
A growing trend in requirements elicitation is the use of machine learning (ML) techniques to
automate the cumbersome requirement handling process. This literature review summarizes …
automate the cumbersome requirement handling process. This literature review summarizes …
Design and development of artificial intelligence knowledge processing system for optimizing security of software system
Software security vulnerabilities are significant for the software development industry.
Exploration is conducted for software development industry landscape, software …
Exploration is conducted for software development industry landscape, software …
User story extraction from natural language for requirements elicitation: Identify software-related information from online news
Context The user story is a popular artifact in agile software development. Extracting user
stories is helpful for process improvement in requirements elicitation, closing limitations such …
stories is helpful for process improvement in requirements elicitation, closing limitations such …
A novel hybrid requirement's prioritization approach based on critical software project factors
Requirements prioritization is essential for development of quality software products.
Requirements prioritization helps focus on the most important requirements between the …
Requirements prioritization helps focus on the most important requirements between the …
[HTML][HTML] The vision of on-demand architectural knowledge systems as a decision-making companion
M Razavian, B Paech, A Tang - Journal of Systems and Software, 2023 - Elsevier
Cobbler's children do not wear shoes. Software engineers build sophisticated software but
we often cannot find the needed information and knowledge for ourselves. Issues are the …
we often cannot find the needed information and knowledge for ourselves. Issues are the …
[Retracted] Software Systems Security Vulnerabilities Management by Exploring the Capabilities of Language Models Using NLP
Security of the software system is a prime focus area for software development teams. This
paper explores some data science methods to build a knowledge management system that …
paper explores some data science methods to build a knowledge management system that …
Systematic mapping: Artificial intelligence techniques in software engineering
Artificial Intelligence (AI) has become a core feature of today's real-world applications,
making it a trending topic within the software engineering (SE) community. The rise in the …
making it a trending topic within the software engineering (SE) community. The rise in the …
Security and provenance for Internet of Health Things: A systematic literature review
Abstract Internet of Health Things (IoHT) is an extension of the Internet of Things (IoT), which
plays an important role in the observation, consultation, monitoring, and treatment process of …
plays an important role in the observation, consultation, monitoring, and treatment process of …
Election prediction on twitter: a systematic mapping study
Context. Social media platforms such as Facebook and Twitter carry a big load of people's
opinions about politics and leaders, which makes them a good source of information for …
opinions about politics and leaders, which makes them a good source of information for …