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Publication search results
found 62 matches
- 2019
- Razieh Behjati, Erik Arisholm, Margrethe M. Bedregal, Chao Tan:
Synthetic test data generation using recurrent neural networks: a position paper. RAISE@ICSE 2019: 22-27 - Rudolf Ferenc, Péter Hegedüs, Péter Gyimesi, Gábor Antal, Dénes Bán, Tibor Gyimóthy:
Challenging machine learning algorithms in predicting vulnerable JavaScript functions. RAISE@ICSE 2019: 8-14 - Gharib Gharibi, Vijay Walunj, Sirisha Rella, Yugyung Lee:
ModelKB: towards automated management of the modeling lifecycle in deep learning. RAISE@ICSE 2019: 28-34 - Marc Hesenius, Nils Schwenzfeier, Ole Meyer, Wilhelm Koop, Volker Gruhn:
Towards a software engineering process for developing data-driven applications. RAISE@ICSE 2019: 35-41 - Jack Humphreys, Hoa Khanh Dam:
An explainable deep model for defect prediction. RAISE@ICSE 2019: 49-55 - Suhrid Karthik, Nenad Medvidovic:
Automatic detection of latent software component relationships from online Q&A sites. RAISE@ICSE 2019: 15-21 - Ole Meyer, Volker Gruhn:
Towards concept based software engineering for intelligent agents. RAISE@ICSE 2019: 42-48 - Ian Wright, Albert Ziegler:
The standard coder: a machine learning approach to measuring the effort required to produce source code change. RAISE@ICSE 2019: 1-7 - Tim Menzies, Burak Turhan:
Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE@ICSE 2019, Montreal, QC, Canada, May 28, 2019. IEEE / ACM 2019, ISBN 978-1-7281-2272-4 [contents] - 2018
- Martin Blersch, Mathias Landhäußer, Thomas Mayer:
Semi-Automatic Generation of Active Ontologies from Web Forms for Intelligent Assistants. RAISE@ICSE 2018: 28-34 - Themistoklis Diamantopoulos, Georgios Karagiannopoulos, Andreas L. Symeonidis:
CodeCatch: Extracting Source Code Snippets from Online Sources. RAISE@ICSE 2018: 21-27 - Robert Feldt, Francisco Gomes de Oliveira Neto, Richard Torkar:
Ways of Applying Artificial Intelligence in Software Engineering. RAISE@ICSE 2018: 35-41 - András Kicsi, László Tóth, László Vidács:
Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. RAISE@ICSE 2018: 8-14 - Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Evaluating the Adaptive Selection of Classifiers for Cross-Project Bug Prediction. RAISE@ICSE 2018: 48-54 - Sohil L. Shrestha, Saroj Panda, Christoph Csallner:
Complementing Machine Learning Classifiers via Dynamic Symbolic Execution: "Human vs. Bot Generated" Tweets. RAISE@ICSE 2018: 15-20 - Sebastian Weigelt, Tobias Hey, Mathias Landhäußer:
Integrating a Dialog Component into a Framework for Spoken Language Understanding. RAISE@ICSE 2018: 1-7 - Steven Young, Tamer Abdou, Ayse Bener:
A Replication Study: Just-in-Time Defect Prediction with Ensemble Learning. RAISE@ICSE 2018: 42-47 - Walter F. Tichy, Leandro L. Minku:
6th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE@ICSE 2018, Gothenburg, Sweden, May 27, 2018. ACM 2018, ISBN 978-1-4503-5723-4 [contents] - 2016
- Shirin Akbarinasaji, Ayse Basar Bener, Atakan Erdem:
Measuring the principal of defect debt. RAISE@ICSE 2016: 1-7 - S. M. Didar Al Alam, Muhammad Rezaul Karim, Dietmar Pfahl, Günther Ruhe:
Comparative analysis of predictive techniques for release readiness classification. RAISE@ICSE 2016: 15-21 - Janardan Misra, Shubhashis Sengupta, Sanjay Podder:
Topic cohesion preserving requirements clustering. RAISE@ICSE 2016: 22-28 - Vincenzo Musco, Antonin Carette, Martin Monperrus, Philippe Preux:
A learning algorithm for change impact prediction. RAISE@ICSE 2016: 8-14 - Proceedings of the 5th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE@ICSE 2016, Austin, Texas, USA, May 14-22, 2016. ACM 2016, ISBN 978-1-4503-4165-3 [contents]
- 2015
- Themistoklis G. Diamantopoulos, Andreas L. Symeonidis:
Towards Interpretable Defect-Prone Component Analysis Using Genetic Fuzzy Systems. RAISE@ICSE 2015: 32-38 - Mostafa Hamza, Robert J. Walker:
Recommending Features and Feature Relationships from Requirements Documents for Software Product Lines. RAISE@ICSE 2015: 25-31 - Mathias Landhaeusser, Ronny Hug:
Text Understanding for Programming in Natural Language: Control Structures. RAISE@ICSE 2015: 7-12 - Petros Papadopoulos, Neil Walkinshaw:
Black-Box Test Generation from Inferred Models. RAISE@ICSE 2015: 19-24 - Suman Roychoudhury, Vinay Kulkarni, Nikhil Bellarykar:
Mining Enterprise Models for Knowledgeable Decision Making. RAISE@ICSE 2015: 1-6 - Mirco Schindler, Oliver Fox, Andreas Rausch:
Clustering Source Code Elements by Semantic Similarity Using Wikipedia. RAISE@ICSE 2015: 13-18 - Rachel Harrison, Ayse Basar Bener, Burak Turhan:
4th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2015, Florence, Italy, May 17, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-7064-6 [contents]
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