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Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in industry, However, based on well over a dozen case studies, we have learned that deploying industry-strength, production quality ML models in systems…

Machine Learning · Computer Science 2020-06-04 Jan Bosch , Ivica Crnkovic , Helena Holmström Olsson

University engineering capstone projects involve sustained interaction among students, faculty, and industry sponsors whose objectives are only partially aligned. While capstones are widely used in engineering education, existing analyses…

Computers and Society · Computer Science 2026-01-16 Richard Q. Blackwell , Eman Hammad , Congrui Jin , Jisoo Park , Albert E. Patterson

Enterprise systems are crucial for enhancing productivity and decision-making among employees and customers. Integrating LLM based systems into enterprise systems enables intelligent automation, personalized experiences, and efficient…

Machine Learning · Computer Science 2025-11-03 Harsh Vishwakarma , Ankush Agarwal , Ojas Patil , Chaitanya Devaguptapu , Mahesh Chandran

Context: As the adoption of continuous delivery practices increases in software organizations, different scenarios struggle to make it scales for their products in long-term evolution. This study looks at the concrete software architecture…

Software Engineering · Computer Science 2021-08-24 Breno Bernard Nicolau de França , Paulo Sérgio Medeiros dos Santos , Santiago Matalonga

This study aimed to investigate the key technical and psychological factors that impact the architecture, engineering, and construction (AEC) professionals' trust in collaborative robots (cobots) powered by artificial intelligence (AI). The…

Human-Computer Interaction · Computer Science 2023-08-29 Newsha Emaminejad , Lisa Kath , Reza Akhavian

The problems caused by the gap between system- and software-level architecting practices, especially in the context of Systems of Systems where the two disciplines inexorably meet, is a well known issue with a disappointingly low amount of…

Software Engineering · Computer Science 2021-02-10 Héctor Cadavid , Vasilios Andrikopoulos , Paris Avgeriou , P. Chris Broekema

Energy economy optimization (EEO) models employ formal search techniques to explore the future decision space over several decades in order to deliver policy-relevant insights. EEO models are a critical tool for decision-makers who must…

Physics and Society · Physics 2020-01-30 Joseph F. DeCarolis , Kevin Hunter , Sarat Sreepathi

Transformer models have emerged as potent solutions to a wide array of multidisciplinary challenges. The deployment of Transformer architectures is significantly hindered by their extensive computational and memory requirements,…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-03 Zhengxian Lu , Fangyu Wang , Zhiwei Xu , Fei Yang , Tao Li

Hybrid and mixed strategy EAs have become rather popular for tackling various complex and NP-hard optimization problems. While empirical evidence suggests that such algorithms are successful in practice, rather little theoretical support…

Neural and Evolutionary Computing · Computer Science 2014-04-16 Boris Mitavskiy , Jun He

Software architecture is the foundation of a system's ability to achieve various quality attributes, including software performance. However, there lacks comprehensive and in-depth understanding of why and how software architecture and…

Software Engineering · Computer Science 2024-10-24 Yutong Zhao , Lu Xiao , Chenhao Wei , Rick Kazman , Ye Yang

Entity alignment (EA) refers to the task of linking entities in different knowledge graphs (KGs). Existing EA methods rely heavily on structural isomorphism. However, in real-world KGs, aligned entities usually have non-isomorphic…

Computation and Language · Computer Science 2024-11-06 Linyan Yang , Jingwei Cheng , Chuanhao Xu , Xihao Wang , Jiayi Li , Fu Zhang

Context: Pair programming (PP) is more relevant than ever. As modern systems grow in complexity, knowledge sharing and collaboration across teams have become essential. However, despite well-documented benefits of PP, its adoption remains…

Nowadays agile software development is used in greater extend but for small organizations only, whereas MDA is suitable for large organizations but yet not standardized. In this paper the pros and cons of Model Driven Architecture (MDA) and…

Software Engineering · Computer Science 2011-11-01 Pritha Guha , Kinjal Shah , Shiv Shankar Prasad Shukla , Shweta Singh

Building energy modeling plays a vital role in optimizing the operation of building energy systems by providing accurate predictions of the building's real-world conditions. In this context, various techniques have been explored, ranging…

Systems and Control · Electrical Eng. & Systems 2025-04-24 Leandro Von Krannichfeldt , Kristina Orehounig , Olga Fink

Architecture decision making is considered one of the most challenging cognitive tasks in software development. The objective of this study is to explore the state of the practice of architecture decision making in software teams, including…

Software Engineering · Computer Science 2017-07-04 Sandun Dasanayake , Jouni Markkula , Sanja Aaramaa , Markku Oivo

Context: Psychological safety (PS) is an important factor influencing team well-being and performance, particularly in collaborative and dynamic domains such as software development. Despite its acknowledged significance, research on PS…

Empirical game-theoretic analysis (EGTA) is a general framework for reasoning about complex games using agent-based simulation. Data from simulating select strategy profiles is employed to estimate a cogent and tractable game model…

Computer Science and Game Theory · Computer Science 2023-02-06 Christine Konicki , Mithun Chakraborty , Michael P. Wellman

Job rotation is a managerial practice to be applied in the organizational environment to reduce job monotony, boredom, and exhaustion resulting from job simplification, specialization, and repetition. Previous studies have identified and…

The inter-temporal consumption flexibility of commercial buildings can be harnessed to improve the energy efficiency of buildings, or to provide ancillary service to the power grid. To do so, a predictive model of the building's thermal…

Systems and Control · Computer Science 2016-03-23 Qie Hu , Frauke Oldewurtel , Maximilian Balandat , Evangelos Vrettos , Datong Zhou , Claire J. Tomlin

Enterprise Resource Planning (ERP) systems are critical to the success of enterprises, facilitating business operations through standardized digital processes. However, existing ERP systems are unsuitable for startups and small and…

Other Computer Science · Computer Science 2023-06-06 Lukas Böhme , Tobias Wuttke , Ralf Teusner , Michael Perscheid , Sebastian Baltes , Christoph Matthies , Benedict Bender