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In a software product line (SPL), a collection of software products is defined by their commonalities in terms of features rather than explicitly specifying all products one-by-one. Several verification techniques were adapted to establish…

Software Engineering · Computer Science 2013-12-31 Clemens Dubslaff , Sascha Klüppelholz , Christel Baier

Past research on software product lines has focused on the initial development of reusable assets and related challenges, such as cost estimation and implementation issues. Naturally, as software product lines are increasingly adopted…

Software Engineering · Computer Science 2022-12-13 Elias Kuiter , Gunter Saake

Software product lines have recently been presented as one of the best promising improvements for the efficient software development. Different research works contribute supportive parameters and negotiations regarding the problems of…

Software Engineering · Computer Science 2017-03-13 Furrakh Shahzad , Maruf Pasha , Urooj Pasha , Bushra Majeed , Khurram Shahzad

Software development processes are subject to variations in time and space, variations that can originate from learning effects, differences in application domains, or a number of other causes. Identifying and analyzing such differences is…

Software Engineering · Computer Science 2014-01-21 Martín Soto , Jürgen Münch

Product lines (PL) modeling have proven to be an effective approach to reuse in software development.Several variability approaches were developed to plan requirements reuse, but only little of them actuallyaddress the issue of deriving…

Software Engineering · Computer Science 2023-09-26 Olfa Djebbi , Camille Salinesi , Daniel Diaz

Software Product Lines (SPL) are inherently difficult to test due to the combinatorial explosion of the number of products to consider. To reduce the number of products to test, sampling techniques such as combinatorial interaction testing…

Software Engineering · Computer Science 2017-10-24 Xavier Devroey , Maxime Cordy , Gilles Perrouin , Pierre-Yves Schobbens , Axel Legay , Patrick Heymans

An essential characteristic of mature software and system development organizations is the definition and use of explicit process models. For a number of reasons, it can be valuable to produce new process models by tailoring existing…

Software Engineering · Computer Science 2014-01-21 Martín Soto , Jürgen Münch

The massive amount of current data has led to many different forms of data analysis processes that aim to explore this data to uncover valuable insights. Methodologies to guide the development of big data science projects, including…

Software Engineering · Computer Science 2018-12-27 Maria Cristina Vale Tavares , Paulo Alencar , Donald Cowan

In large-scale projects operated in regulated environments, standard development processes are employed to meet strict compliance demands. Since such processes are usually complex, providing process users with access to their required…

Software Engineering · Computer Science 2025-02-18 Oliver Greulich , Christoph Knieke , Bassel Rafie , Andreas Rausch , Marco Kuhrmann

Business process simulation is a versatile technique to predict the impact of one or more changes on the performance of a process. Mainstream approaches in this space suffer from various limitations, some stemming from the fact that they…

Other Computer Science · Computer Science 2022-08-18 Orlenys Lopez-Pintado , Marlon Dumas

Automated production systems (aPS) are highly customized systems that consist of hardware and software. Such aPS are controlled by a programmable logic controller (PLC), often in accordance with the IEC 61131-3 standard that divides system…

Software Engineering · Computer Science 2021-08-24 Kamil Rosiak , Alexander Schlie , Lukas Linsbauer , Birgit Vogel-Heuser , Ina Schaefer

Differentiable programming has recently received much interest as a paradigm that facilitates taking gradients of computer programs. While the corresponding flexible gradient-based optimization approaches so far have been used predominantly…

Background. Feature Model (FM) is the most important technique used to manage the variability through products in Software Product Lines (SPLs). Often, the SPLs requirements variability is by using variable use case model which is a real…

Software Engineering · Computer Science 2019-04-29 Esraa Abdel-Ghani , Said Ghoul

Software engineers have adopted the Dynamic Software Product Lines (DSPL) engineering practices to develop Dynamically Adaptable Software (DAS). DAS is seen as a DSPL application and must cope with a large number of configurations of…

Manufacturing companies face challenges when it comes to quickly adapting their production control to fluctuating demands or changing requirements. Control approaches that encapsulate production functions as services have shown to be…

Artificial Intelligence · Computer Science 2022-07-26 Aljosha Köcher , Rene Heesch , Niklas Widulle , Anna Nordhausen , Julian Putzke , Alexander Windmann , Oliver Niggemann

Satisfactory software performance is essential for the adoption and the success of a product. In organizations that follow traditional software development models (e.g., waterfall), Software Performance Engineering (SPE) involves…

Software Engineering · Computer Science 2022-05-09 Gunnar Kudrjavets , Jeff Thomas , Nachiappan Nagappan

In the recent past, software product line engineering has become one of the most promising practices in software industry with the potential to substantially increase the software development productivity. Software product line engineering…

Software Engineering · Computer Science 2015-07-27 Faheem Ahmed , Luiz Fernando Capretz

Safety-critical software systems are in many cases designed and implemented as families of products, usually referred to as Software Product Lines (SPLs). Products within an SPL vary from each other in terms of which features they include.…

Software Engineering · Computer Science 2021-05-04 Ramy Shahin , Sahar Kokaly , Marsha Chechik

Water scarcity and the low quality of wastewater produced in industrial applications present significant challenges, particularly in managing fresh water intake and reusing residual quantities. These issues affect various industries,…

Optimization and Control · Mathematics 2025-04-25 Stavros Vatikiotis , Ioannis Avgerinos , Stathis Plitsos , Georgios Zois

Predictive analysis in business process monitoring aims at forecasting the future information of a running business process. The prediction is typically made based on the model extracted from historical process execution logs (event logs).…

Artificial Intelligence · Computer Science 2018-07-03 Ario Santoso