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ORCIDInformation & Software Technology, Volume 123
Volume 123, July 2020
- Korosh Koochekian Sabor, Mohammad Hamdaqa
, Abdelwahab Hamou-Lhadj:
Automatic prediction of the severity of bugs using stack traces and categorical features. 106205 - Yunho Kim, Dongju Lee, Junki Baek, Moonzoo Kim:
MAESTRO: Automated test generation framework for high test coverage and reduced human effort in automotive industry. 106221
- Woubshet Behutiye, Pertti Karhapää, Lidia López, Xavier Burgués Illa, Silverio Martínez-Fernández, Anna Maria Vollmer, Pilar Rodríguez, Xavier Franch, Markku Oivo:
Management of quality requirements in agile and rapid software development: A systematic mapping study. 106225
- Junfeng Tian, Wenjing Xing, Zhen Li:
BVDetector: A program slice-based binary code vulnerability intelligent detection system. 106289 - Vinay Arora, Maninder Singh, Rajesh Kumar Bhatia:
Orientation-based Ant colony algorithm for synthesizing the test scenarios in UML activity diagram. 106292 - Érica Mourão, João Felipe Pimentel, Leonardo Murta, Marcos Kalinowski, Emilia Mendes, Claes Wohlin:
On the performance of hybrid search strategies for systematic literature reviews in software engineering. 106294
- Plínio de Sá Leitão Júnior, Diogo M. De-Freitas, Silvia R. Vergilio, Celso G. Camilo-Junior, Rachel Harrison:
Search-based fault localisation: A systematic mapping study. 106295 - Jin Zhang, Jingyue Li:
Testing and verification of neural-network-based safety-critical control software: A systematic literature review. 106296
- Michal Soucha, Kirill Bogdanov:
State identification sequences from the splitting tree. 106297 - Guido Tebes, Denis Peppino, Pablo Becker, Gerardo Matturro, Martín Solari, Luis Olsina:
Analyzing and documenting the systematic review results of software testing ontologies. 106298
- Cláudio M. N. A. Pereira, Andre L. S. Pinheiro, Roberto Schirru:
Automatic block dimensioning on GPU-accelerated programs through particle swarm optimization. 106299
- Raghu Ramakrishnan, Arvinder Kaur:
An empirical comparison of predictive models for web page performance. 106307 - Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro:
Assessing the effectiveness of approximate functional sizing approaches for effort estimation. 106308 - Miroslaw Ochodek, Sylwia Kopczynska, Miroslaw Staron:
Deep learning model for end-to-end approximation of COSMIC functional size based on use-case names. 106310 - Fiorella Zampetti, Andrea Di Sorbo, Corrado Aaron Visaggio, Gerardo Canfora, Massimiliano Di Penta:
Demystifying the adoption of behavior-driven development in open source projects. 106311
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