Opinion mining for software development: a systematic literature review
Opinion mining, sometimes referred to as sentiment analysis, has gained increasing
attention in software engineering (SE) studies. SE researchers have applied opinion mining …
attention in software engineering (SE) studies. SE researchers have applied opinion mining …
Automatic identification of decisions from the hibernate developer mailing list
Decisions run through the whole software development and maintenance processes.
Explicitly documenting these decisions helps to organize development knowledge and to …
Explicitly documenting these decisions helps to organize development knowledge and to …
A machine learning based ensemble method for automatic multiclass classification of decisions
Stakeholders make various types of decisions with respect to requirements, design,
management, and so on during the software development life cycle. Nevertheless, these …
management, and so on during the software development life cycle. Nevertheless, these …
[PDF][PDF] Analyst's Perception on the Use of AI-based Tools in the Software Development Life Cycle
R Giffari, MM Ridho, DI Sensuse… - Jurnal Sistem …, 2024 - pdfs.semanticscholar.org
Artificial Intelligence (AI) integration has been the goal in many industries, including in the
software development industry. One example of this integration comes in the form of …
software development industry. One example of this integration comes in the form of …
An exploratory study on automatic identification of assumptions in the development of deep learning frameworks
Context Stakeholders constantly make assumptions in the development of deep learning
(DL) frameworks. These assumptions are related to various types of software artifacts (eg …
(DL) frameworks. These assumptions are related to various types of software artifacts (eg …
Automatic identification and extraction of assumptions on github
In software development, due to the lack of knowledge or information, time pressure,
complex context, and many other factors, various uncertainties emerge during the …
complex context, and many other factors, various uncertainties emerge during the …
Self-claimed assumptions in deep learning frameworks: An exploratory study
Deep learning (DL) frameworks have been extensively designed, implemented, and used in
software projects across many domains. However, due to the lack of knowledge or …
software projects across many domains. However, due to the lack of knowledge or …
Will data influence the experiment results?: a replication study of automatic identification of decisions
Decisions are an important type of artifacts in software development and maintenance, while
decisions are not well-documented in projects due to limited human resources and budget …
decisions are not well-documented in projects due to limited human resources and budget …
Exploring the Rationale of Design Decisions in Open-Source Software Mailing Lists and their Relationship to Architectural Issues
W Meijer - 2022 - fse.studenttheses.ub.rug.nl
In open-source software, architectural knowledge (AK) is incoherently spread across various
platforms such as issue tracking systems, source code and mailing lists. Previous research …
platforms such as issue tracking systems, source code and mailing lists. Previous research …