Article
Computer Science, Software Engineering
Souvick Das, Novarun Deb, Nabendu Chaki, Agostino Cortesi
Summary: An emerging feature of mobile application software is the need for quick production of new versions to address issues from previous versions, in order to adapt to changing user needs and preferences. This paper proposes a novel framework that leverages user feedback to drive the technology value stream for software companies. By utilizing various Natural Language Processing (NLP) tasks, the framework aims to understand the needs and goals of end users. An analysis of reviews from sixteen popular Android Play Store applications over a long period of time provides evidence of the effectiveness of the proposed approach.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2023)
Review
Multidisciplinary Sciences
Amber Batwara, Vikram Sharma, Mohit Makkar, Antonio Giallanza
Summary: Value Stream Mapping (VSM) is a lean tool used to identify and reduce waste, improving value and performance across industries. The importance of VSM has evolved to include smart, sustainable development, leading to increased interest among researchers and practitioners. A comprehensive review is necessary to understand the potential of VSM-based smart, sustainable development from a triple-bottom-line perspective. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) will be employed to analyze insights and gaps in value stream mapping over a fifteen-year period.
Article
Engineering, Industrial
Ralph Richter, Marius Syberg, Jochen Deuse, Peter Willats, David Lenze
Summary: This paper introduces a PDCA cycle to analyze and reduce variability in value streams. It divides the value stream into stable and unstable zones, and applies measures to reduce variability in the unstable zones, with the goal of gradually turning them into stable zones and extending the sustainable implementation of lean practices. An IT system is developed to acquire, process, and visualize the data, providing structured information for experts and management to reduce production variability.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Software Engineering
Pilar Rodriguez, Cathy Urquhart, Emilia Mendes
Summary: This paper investigates the understanding and considerations of value in software feature selection among key stakeholders in three software/software-intensive companies using grounded theory. The study identifies core value propositions and specific value propositions in feature selection, which vary according to the stakeholder group and the type of feature being assessed. The research provides significant insights into the importance of value in feature selection and introduces new concepts around value-based feature selection.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2022)
Article
Mechanics
Matteo Dellacasagrande, Dario Barsi, Patrizia Bagnerini, Davide Lengani, Daniele Simoni
Summary: A different version of the classic proper orthogonal decomposition (POD) procedure is proposed in this paper, introducing spatial and temporal weighting matrices, as well as a newly defined non-Euclidean (NE) inner product. The aim is to highlight fluctuation events localized in spatio-temporal regions with low kinetic energy magnitude. The results show that the non-Euclidean POD (NE-POD) procedure is better at extracting low energy events sparse in time and space, compared to other variants, by considering weighted projections.
Article
Green & Sustainable Science & Technology
Varun Tripathi, Somnath Chattopadhyaya, Alok Bhadauria, Shubham Sharma, Changhe Li, Danil Yurievich Pimenov, Khaled Giasin, Sunpreet Singh, Girish Dutt Gautam
Summary: The study aims to develop an agile system for sustaining productivity improvements in industry 4.0 through methods such as value stream mapping. The proposed methodology has been shown to encourage industry personnel during decision-making processes, resulting in enhanced production efficiency in industry 4.0.
Article
Mechanics
Jia Tang, Yang Yang, Mingshui Li
Summary: This paper investigates the 2D AAFs of rectangular 5:1 cylinders within different turbulent flow fields. The 2D AAF is determined by removing the influence of the 3D effect from the traditional AAF, which can be derived based on the ratio of the one-dimensional fluctuating force spectrum to the one-dimensional turbulent wind spectrum. The traditional AAF values vary in response to the 3D effect and the dimensionless turbulent integral scale in different turbulent flow fields. The 2D AAF effectively reduces the discrepancies caused by the dimensionless turbulent integral scale.
Article
Engineering, Aerospace
Hongying Shan, Mengyao Qin, Libin Zhang, Zunyan Meng, Peiyang Peng, Xinze Shan
Summary: This study proposes a dynamic value stream mapping system for astronauts in the space station using lean methods to monitor and continuously improve their value flow and energy flow in real time. Through a systematic literature review, it is found that there is little research on lean management for astronauts. The theoretical framework of astronaut lean management is constructed, and the reasons for astronaut Muda and improvement ideas are analyzed. This study provides a new way to identify value in aerospace using lean methods.
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
N. Anquetil, J. Delplanque, S. Ducasse, O. Zaitsev, C. Fuhrman, Y. -g. Gueheneuc
Summary: This article investigates literal values in source code and explores when they should be considered magic or acceptable. The study shows that literals are still prevalent in source code, particularly in test methods. While some literals are considered magic, the majority are deemed acceptable. These findings pave the way for future research on magic literals, including the development of tools to assist developers in determining the acceptability of a literal.
INFORMATION AND SOFTWARE TECHNOLOGY
(2022)
Article
Computer Science, Software Engineering
Alexander Trautsch, Johannes Erbel, Steffen Herbold, Jens Grabowski
Summary: Software metrics are used to evaluate aspects related to software quality, such as size, complexity, and coupling. However, the relationship between quality and software metrics is not well understood, and complexity metrics may not be reliable indicators of code understandability. In this study, developers' intent in improving code quality is leveraged to analyze the differences in size and static source code metrics between quality-improving changes and unrelated changes. The results show that quality-improving commits are smaller and perfective changes have a positive impact on static source code metrics, while corrective changes tend to add complexity.
EMPIRICAL SOFTWARE ENGINEERING
(2023)
Article
Business
David Gaddis Ross, Moonsik Shin
Summary: In traditional strategy theories, maximizing bargaining power with transaction partners is crucial for profitability. However, the emergence of the pay-what-you-want pricing model challenges this notion and suggests that sellers can capture more value through social exchange. This calls for an extension of strategy theory to consider social exchange as a mechanism for creating and capturing value.
ACADEMY OF MANAGEMENT REVIEW
(2023)
Article
Engineering, Civil
Andrea Brenna, Lorenzo Marchi, Marco Borga, Massimiliano Ghinassi, Mattia Zaramella, Nicola Surian
Summary: The study compared transport mechanisms in a mountain stream during high-magnitude floods with those in ordinary floods and evaluated the effectiveness of morphometric approaches in predicting high-magnitude flows. Water flow remained dominant during the high-magnitude Vaia Storm, with debris flows and debris floods also occurring at certain sub-reaches. The morphometric approaches successfully predicted debris flows but struggled to recognize debris floods during the 2018 flooding event.
JOURNAL OF HYDROLOGY
(2021)
Article
Computer Science, Software Engineering
Marco Kuhrmann, Paolo Tell, Regina Hebig, Jil Kluender, Juergen Muench, Oliver Linssen, Dietmar Pfahl, Michael Felderer, Christian R. Prause, Stephen G. MacDonell, Joyce Nakatumba-Nabende, David Raffo, Sarah Beecham, Eray Tuzun, Gustavo Lopez, Nicolas Paez, Diego Fontdevila, Sherlock A. Licorish, Steffen Kuepper, Guenther Ruhe, Eric Knauss, Ozden Ozcan-Top, Paul Clarke, Fergal McCaffery, Marcela Genero, Aurora Vizcaino, Mario Piattini, Marcos Kalinowski, Tayana Conte, Rafael Prikladnicki, Stephan Krusche, Ahmet Coskuncay, Ezequiel Scott, Fabio Calefato, Svetlana Pimonova, Rolf-Helge Pfeiffer, Ulrik Pagh Schultz, Rogardt Heldal, Masud Fazal-Baqaie, Craig Anslow, Maleknaz Nayebi, Kurt Schneider, Stefan Sauer, Dietmar Winkler, Stefan Biffl, Maria Cecilia Bastarrica, Ita Richardson
Summary: This article investigates what makes a software development method agile. Through a large-scale international survey and data analysis, the findings suggest that although only a small number of participants operate their projects in a purely traditional or agile manner, most project disciplines and practices show a trend towards increasing degrees of agility. It is concluded that agility cannot be solely defined at the process level and additional factors need to be taken into account when implementing or improving agility in a software company.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2022)
Article
Engineering, Civil
Konstantinos N. Moutsopoulos, John N. E. Papaspyros, Marwan Fahs
Summary: This paper investigates the flow behavior in unconfined double porosity aquifers and proposes analytical solutions using h2-linearization technique and Laplace transform. The newly developed analytical solution is consistent with numerical solutions and is reliable for a certain range of drawdowns. The research in this paper has potential applications in estimating flow rates and interpreting pumping tests in unconfined double porosity aquifers.
JOURNAL OF HYDROLOGY
(2022)
Article
Computer Science, Software Engineering
Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li
Summary: The study found that popular and unpopular academic AI repositories significantly differ in terms of software engineering practices, with factors like the number of links to other GitHub repositories in the README file, the number of images in the README file, and the inclusion of a license being the most important features for distinguishing these two groups of repositories.
EMPIRICAL SOFTWARE ENGINEERING
(2021)
