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An important feature of pervasive, intelligent assistance systems is the ability to dynamically adapt to the current needs of their users. Hence, it is critical for such systems to be able to recognize those goals and needs based on…

Artificial Intelligence · Computer Science 2023-01-16 Nils Wilken , Lea Cohausz , Johannes Schaum , Stefan Lüdtke , Heiner Stuckenschmidt

From formal and practical analysis, we identify new challenges that self-adaptive systems pose to the process of quality assurance. When tackling these, the effort spent on various tasks in the process of software engineering is naturally…

Software Engineering · Computer Science 2019-02-14 Thomas Gabor , Marie Kiermeier , Andreas Sedlmeier , Bernhard Kempter , Cornel Klein , Horst Sauer , Reiner Schmid , Jan Wieghardt

The aim of behaviour change is to help people to change aspects of their behaviour for the better (e.g., to decrease calorie intake, to drink in moderation, to take more exercise, to complete a course of antibiotics once started, etc.). In…

Artificial Intelligence · Computer Science 2018-02-28 Lisa Chalaguine , Emmanuel Hadoux , Fiona Hamilton , Andrew Hayward , Anthony Hunter , Sylwia Polberg , Henry W. W. Potts

This paper presents an extensive study on the application of AI techniques for software effort estimation in the past five years from 2017 to 2023. By overcoming the limitations of traditional methods, the study aims to improve accuracy and…

Software Engineering · Computer Science 2024-02-09 Nhi Tran , Tan Tran , Nam Nguyen

An adaptive guidance system that supports equipment operators requires a comprehensive model, which involves a variety of user behaviors that considers different skill and knowledge levels, as well as rapid-changing task situations. In the…

Human-Computer Interaction · Computer Science 2020-09-17 Chen Long-fei , Yuichi Nakamura , Kazuaki Kondo

Process supervision, using a trained verifier to evaluate the intermediate steps generated by a reasoner, has demonstrated significant improvements in multi-step problem solving. In this paper, to avoid the expensive effort of human…

Artificial Intelligence · Computer Science 2024-10-16 Zihan Wang , Yunxuan Li , Yuexin Wu , Liangchen Luo , Le Hou , Hongkun Yu , Jingbo Shang

\textbf{Background:} Machine learning models trained on electronic health records (EHRs) often degrade across healthcare systems due to distributional shift. A fundamental but underexplored factor is diagnostic signal decay: variability in…

Machine Learning · Computer Science 2025-09-11 Jingya Cheng , Jiazi Tian , Federica Spoto , Alaleh Azhir , Daniel Mork , Hossein Estiri

Sentiment analysis on software engineering (SE) texts has been widely used in the SE research, such as evaluating app reviews or analyzing developers sentiments in commit messages. To better support the use of automated sentiment analysis…

Software Engineering · Computer Science 2021-03-25 Kexin Sun , Hui Gao , Hongyu Kuang , Xiaoxing Ma , Guoping Rong , Dong Shao , He Zhang

Validation is one of the software engineering disciplines that help build quality into software. The major objective of software validation process is to determine that the software performs its intended functions correctly and provide…

Software Engineering · Computer Science 2011-03-22 Mahmoud Khraiwesh

The rapid rise of Artificial Intelligence (AI) is reshaping Software Engineering (SE), creating new opportunities while introducing human-centered challenges. Although prior work notes behavioral and other non-technical factors in AI…

Software Engineering · Computer Science 2025-12-08 Theocharis Tavantzis , Stefano Lambiase , Daniel Russo , Robert Feldt

Context: Software performance is a critical non-functional requirement, appearing in many fields such as mission critical applications, financial, and real time systems. In this work we focused on early detection of performance bugs; our…

Software Engineering · Computer Science 2017-02-28 Sokratis Tsakiltsidis , Andriy Miranskyy , Elie Mazzawi

This work describes our group's submission to the PROCESS Challenge 2024, with the goal of assessing cognitive decline through spontaneous speech, using three guided clinical tasks. This joint effort followed a holistic approach,…

Effective software testing is critical for producing reliable and secure software, yet many computer science students struggle to master the foundational concepts required to construct comprehensive test suites. While automated feedback…

Software Engineering · Computer Science 2025-10-02 Shiza Andleeb , Teo Mendoza , Lucas Cordova , Gursimran Walia , Jeffrey C. Carver

Context: As the demand for digital solutions adapted to different user profiles increases, creating more inclusive and diverse software development teams becomes an important initiative to improve software product accessibility. Problem:…

Software development effort estimation (SDEE) generally involves leveraging the information about the effort spent in developing similar software in the past. Most organizations do not have access to sufficient and reliable forms of such…

Software Engineering · Computer Science 2021-09-14 Ritu Kapur , Balwinder Sodhi

Empirical software engineering is concerned with the design and analysis of empirical studies that include software products, processes, and resources. Optimization is a form of data analytics in support of human decision-making.…

Software Engineering · Computer Science 2019-12-05 Guenther Ruhe

For more than 30 years, it has been claimed that a way to improve software developers' productivity and software quality is to focus on people and to provide incentives to make developers satisfied and happy. This claim has rarely been…

Software Engineering · Computer Science 2015-05-06 Daniel Graziotin , Xiaofeng Wang , Pekka Abrahamsson

Cognitive diagnosis has been developed for decades as an effective measurement tool to evaluate human cognitive status such as ability level and knowledge mastery. It has been applied to a wide range of fields including education, sport,…

Artificial Intelligence · Computer Science 2024-07-09 Fei Wang , Weibo Gao , Qi Liu , Jiatong Li , Guanhao Zhao , Zheng Zhang , Zhenya Huang , Mengxiao Zhu , Shijin Wang , Wei Tong , Enhong Chen

For many decades, formal methods are considered to be the way forward to help the software industry to make more reliable and trustworthy software. However, despite this strong belief and many individual success stories, no real change in…

Software Engineering · Computer Science 2024-02-14 Marieke Huisman , Dilian Gurov , Alexander Malkis

Simulation is a common approach to predict the effect of business process changes on quantitative performance. The starting point of Business Process Simulation (BPS) is a process model enriched with simulation parameters. To cope with the…

Software Engineering · Computer Science 2024-08-27 Orlenys López-Pintado , Serhii Murashko , Marlon Dumas