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会议文集
文集名
Product-Focused Software Process Improvement
会议名
24th International Conference on Product-Focused Software Process Improvement (PROFES 2023)
中译名
《第二十四届国际以产品为中心的软件流程改进会议,卷1》
会议日期
December 10-13, 2023
会议地点
Dornbirn, Austria
出版年
2024
馆藏号
350952
题名
作者
出版年
Virtual Reality Collaboration Platform for Agile Software Development
Enes Yigitbas; Iwo Witalinski; Sebastian Gottschalk; Gregor Engels
2024
Effects of Ways of Working on Changes to Understanding of Benefits -Comparing Projects and Continuous Product Development
Sinan Sigurd Tanilkan; Jo Erskine Hannay
2024
To Memorize or to Document: A Survey of Developers' Views on Knowledge Availability
Jacob Kruger; Regina Hebig
2024
Facilitating Security Champions in Software Projects - An Experience Report from Visma
Anh Nguyen-Duc; Daniela Soares Cruzes; Hege Aalvik; Monica Iovan
2024
Benefits and Challenges of an Internal Corporate Accelerator in a Software Company: An Action-Research Study
Vanessa Lopes Abreu; Anderson Jorge Serra Costa; Andre Coelho Pinheiro; Cleidson R. B. de Souza
2024
A Process for Scenario Prioritization and Selection in Simulation-Based Safety Testing of Automated Driving Systems
Fauzia Khan; Hina Anwar; Dietmar Pfahl
2024
The Journey to Serverless Migration: An Empirical Analysis of Intentions, Strategies, and Challenges
Muhammad Hamza; Muhammad Azeem Akbar; Kari Smolander
2024
On the Role of Font Formats in Building Efficient Web Applications
Benedikt Dornauer; Wolfgang Vigl; Michael Felderer
2024
Web Image Formats: Assessment of Their Real-World-Usage and Performance Across Popular Web Browsers
Benedikt Dornauer; Michael Felderer
2024
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning
Lisa Jockel; Michael Klas; Janek Gross; Pascal Gerber; Markus Scholz; Jonathan Eberle; Marc Teschner; Daniel Seifert; Richard Hawkins; John Molloy; Jens Ottnad
2024
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey
Antonio Pedro Santos Alves; Marcos Kalinowski; Gorkem Giray; Daniel Mendez; Niklas Lavesson; Kelly Azevedo; Hugo Villamizar; Tatiana Escovedo; Helio Lopes; Stefan Biffl; Jurgen Musil; Michael Felderer; Stefan Wagner; Teresa Baldassarre; Tony Gorschek
2024
A Stochastic Approach Based on Rational Decision-Making for Analyzing Software Engineering Project Status
Hannes Salin
2024
CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems
Diaeddin Rimawi; Antonio Liotta; Marco Todescato; Barbara Russo
2024
Comparing Machine Learning Algorithms for Medical Time-Series Data
Alex Helmersson; Faton Hoti; Sebastian Levander; Aliasgar Shereef; Emil Svensson; Ali El-Merhi; Richard Vithal; Jaquette Liljencrantz; Linda Block; Helena Odenstedt Herges; Miroslaw Staron
2024
What Data Scientists (Care To) Recall
Samar Saeed; Shahrzad Sheikholeslami; Jacob Kruger; Regina Hebig
2024
Using AI-Based Code Completion for Domain-Specific Languages
Christina Piereder; Gunter Fleck; Verena Geist; Michael Moser; Josef Pichler
2024
Assessing IDEA Diagrams for Supporting Analysis of Capabilities and Issues in Technical Debt Management
Savio Freire; Verusca Rocha; Manoel Mendonca; Clemente Izurieta; Carolyn Seaman; Rodrigo Spinola
2024
Automatic Fixation of Decompilation Quirks Using Pre-trained Language Model
Ryunosuke Kaichi; Shinsuke Matsumoto; Shinji Kusumoto
2024
Log Drift Impact on Online Anomaly Detection Workflows
Scott Lupton; Hironori Washizaki; Nobukazu Yoshioka; Yoshiaki Fukazawa
2024
Leveraging Historical Data to Support User Story Estimation
Aleksander G. Duszkiewicz; Jacob G. Sorensen; Niclas Johansen; Henry Edison; Thiago Rocha Silva
2024
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