Unveiling the microservices testing methods, challenges, solutions, and solutions gaps: A systematic mapping study

M Hui, L Wang, H Li, R Yang, Y Song, H Zhuang… - Journal of Systems and …, 2024 - Elsevier
Microservices architecture (MSA) is widely used by enterprises and related practitioners.
Due to the importance of MSA in the industry, failure to identify its potential faults and errors …

Green IN Artificial Intelligence from a Software Perspective: State-of-the-Art and Green Decalogue

M Gutiérrez, MÁ Moraga, F García, C Calero - ACM Computing Surveys, 2024 - dl.acm.org
This work presents a structured view of the state-of-the-art research on Artificial Intelligence
(AI), from the point of view of efficiency and reduction of the energy consumption of AI …

Business-driven technical debt management using Continuous Debt Valuation Approach (CoDVA)

MG Stochel, T Borek, MR Wawrowski… - Information and Software …, 2023 - Elsevier
Context: Despite the increasing research on Technical Debt Management (TDM), there is
still a need for empirical studies that take a comprehensive approach to managing Technical …

The Use of AI in Software Engineering: A Synthetic Knowledge Synthesis of the Recent Research Literature

P Kokol - Information, 2024 - mdpi.com
Artificial intelligence (AI) has witnessed an exponential increase in use in various
applications. Recently, the academic community started to research and inject new AI-based …

[HTML][HTML] AICodeReview: Advancing code quality with AI-enhanced reviews

Y Almeida, D Albuquerque, E Dantas Filho, F Muniz… - SoftwareX, 2024 - Elsevier
This paper presents a research investigation into the application of Artificial Intelligence (AI)
within code review processes, aiming to enhance the quality and efficiency of this critical …

Graph-Driven Exploration of Issue Handling Schemes in Software Projects

B Dobrzyński, J Sosnowski - Applied Sciences, 2024 - mdpi.com
The Issue Tracking System (ITS) repositories are rich sources of software development
documentation that are useful in assessing the status and quality of software projects. An …

A Multiple Case Study on Executive IT Manager Experience of Technical Debt

AL Creech - 2024 - search.proquest.com
Poor technical debt management processes negatively impact development teams and can
severely impact the quality of work. However, how executive IT leadership of software …

Less is More: An Empirical Study of Undersampling Techniques for Technical Debt Prediction

G Lee, SUJ Lee - International Conference on Engineering of Complex …, 2024 - Springer
Technical Debt (TD) prediction is crucial to preventing software quality degradation and
maintenance cost increase. Recent Machine Learning (ML) approaches have shown …

Towards Realistic SATD Identification through Machine Learning Models: Ongoing Research and Preliminary Results

E Gama, M Paixao, MI Cortés, L Monteiro - Companion Proceedings of …, 2024 - dl.acm.org
Automated identification of self-admitted technical debt (SATD) has been crucial for
advancements in managing such debt. However, state-of-the-arts studies often overlook …

A Catalog of Prevention Strategies for Test Technical Debt

LA Silva, IS Santos - Proceedings of the XXIII Brazilian Symposium on …, 2024 - dl.acm.org
Background: The demand for software innovation pressures organizations to balance
meeting deadlines with maintaining quality. This situation can lead to Technical Debt (TD) …