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 …
Application of deep learning in software defect prediction: systematic literature review and meta-analysis
Context Despite recent attention given to Software Defect Prediction (SDP), the lack of any
systematic effort to assess existing empirical evidence on the application of Deep Learning …
systematic effort to assess existing empirical evidence on the application of Deep Learning …
Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
In recent years, the software industry has invested substantial effort to improve software
quality in organizations. Applying proactive software defect prediction will help developers …
quality in organizations. Applying proactive software defect prediction will help developers …
Artificial Intelligence Versus Software Engineers: An Evidence-based Assessment Focusing on Non-functional Requirements
N Nascimento, P Alencar, D Cowan - 2023 - researchsquare.com
Abstract The automation of Software Engineering (SE) tasks using Artificial Intelligence (AI)
is growing, with AI increasingly leveraged for project management, modeling, testing, and …
is growing, with AI increasingly leveraged for project management, modeling, testing, and …
Within-Project Defect Prediction Using Improved CNN Model via Extracting the Source Code Features
AT Elbosaty, WM Abdelmoez… - 2022 International Arab …, 2022 - ieeexplore.ieee.org
Errors in software systems are inevitable. However, fixing bugs requires cost and time. If they
are detected early, this problem is solved with Artificial Intelligence in Software Engineering …
are detected early, this problem is solved with Artificial Intelligence in Software Engineering …
[PDF][PDF] Insights of effectivity analysis of learning-based approaches towards software defect prediction.
D Rai, JA Prashant - International Journal of Electrical & …, 2024 - pdfs.semanticscholar.org
Software defect prediction is one of the essential sets of operation towards mitigating issues
of risk management in software development known to contribute towards enhancing the …
of risk management in software development known to contribute towards enhancing the …
Comparing Organizational Culture: Perspectives from Western and Eastern Contexts
W Widiastuti, S Indartono, N Sa'adah - International Journal of …, 2023 - ijomm.ubb.ac.id
The relationship between employees and customers is shaped by organizational culture,
which enables organizations to adapt and align with their goals and strategies. It includes a …
which enables organizations to adapt and align with their goals and strategies. It includes a …
Machine Learning and Deep Learning Techniques to Predict Software Defects: A Bibliometric Analysis, Systematic Review, Challenges and Future Works
A Daza Vergaray, OG Apaza Pérez… - … Challenges and Future … - papers.ssrn.com
Abstract In Australia, approximately 66.00% of projects exceeded the programmed budget
and 33% were out of time, all of them due to software failures. The purpose of this study is to …
and 33% were out of time, all of them due to software failures. The purpose of this study is to …