26 citations · 70 across the 5 of their papers we have counts for
6 papers
Maintainability Challenges in ML: A Systematic Literature Review
Karthik Shivashankar, Antonio Martini
Background: As Machine Learning (ML) advances rapidly in many fields, it is being adopted by academics and businesses alike. However, ML has a number of different challenges in ter…
Agile Elicitation of Scalability Requirements for Open Systems: A Case Study
Gunnar Brataas, Antonio Martini, Geir Kjetil Hanssen +1
Eliciting scalability requirements during agile software development is complicated and poorly described in previous research. This article presents a lightweight artifact for elic…
The use of incentives to promote Technical Debt management
Terese Besker, Antonio Martini, Jan Bosch
When developing software, it is vitally important to keep the level of technical debt down since it is well established from several studies that technical debt can, e.g., lower th…
Measuring affective states from technical debt: A psychoempirical software engineering experiment
Jesper Olsson, Erik Risfelt, Terese Besker +2
Software engineering is a human activity. Despite this, human aspects are under-represented in technical debt research, perhaps because they are challenging to evaluate. This study…
Towards Surgically-Precise Technical Debt Estimation: Early Results and Research Roadmap
Valentina Lenarduzzi, Antonio Martini, Davide Taibi +1
The concept of technical debt has been explored from many perspectives but its precise estimation is still under heavy empirical and experimental inquiry. We aim to understand whet…
Technical Debt Prioritization: State of the Art. A Systematic Literature Review
Valentina Lenarduzzi, Terese Besker, Davide Taibi +2
Background. Software companies need to manage and refactor Technical Debt issues. Therefore, it is necessary to understand if and when refactoring Technical Debt should be prioriti…