StateAFL: Greybox fuzzing for stateful network servers (English)
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- New search for: Natella, Roberto
- Further information on Natella, Roberto:
- https://orcid.org/0000-0003-1084-4824
- New search for: Natella, Roberto
- Further information on Natella, Roberto:
- https://orcid.org/0000-0003-1084-4824
In:
Empirical Software Engineering
;
27
, 7
;
2022
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ISSN:
- Article (Journal) / Electronic Resource
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Title:StateAFL: Greybox fuzzing for stateful network servers
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Contributors:Natella, Roberto ( author )
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Published in:Empirical Software Engineering ; 27, 7
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Publisher:
- New search for: Springer US
- New search for: Springer Science + Business Media B.V
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Place of publication:Dordrecht [u.a.]
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Publication date:2022
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ISSN:
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ZDBID:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
- New search for: 54.52$jSoftware engineering / 54.52
- Further information on Basic classification
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Keywords:
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Classification:
BKL: 54.52$jSoftware engineering / 54.52 Software engineering -
Source:
Table of contents – Volume 27, Issue 7
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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The evolution of the code during review: an investigation on review changesFregnan, Enrico / Petrulio, Fernando / Bacchelli, Alberto et al. | 2022
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Sources of software development task frictionBradley, Nick C. / Fritz, Thomas / Holmes, Reid et al. | 2022
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The human experience of comprehending source code in virtual realityDominic, James / Tubre, Brock / Kunkel, Deborah / Rodeghero, Paige et al. | 2022
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A large-scale empirical study of commit message generation: models, datasets and evaluationTao, Wei / Wang, Yanlin / Shi, Ensheng / Du, Lun / Han, Shi / Zhang, Hongyu / Zhang, Dongmei / Zhang, Wenqiang et al. | 2022
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Pitfalls and guidelines for using time-based Git dataFlint, Samuel W. / Chauhan, Jigyasa / Dyer, Robert et al. | 2022
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Extracting enhanced artificial intelligence model metadata from software repositoriesTsay, Jason / Braz, Alan / Hirzel, Martin / Shinnar, Avraham / Mummert, Todd et al. | 2022
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Motivating members’ involvement to effectually conduct collaborative software process tailoringLee, Jung-Chieh / Chen, Chung-Yang et al. | 2022
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Developing research questions in conversation with the literature: operationalization & tool supportDíaz, Oscar / Contell, Jeremías P. et al. | 2022
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An empirical study of Android behavioural code smells detectionPrestat, Dimitri / Moha, Naouel / Villemaire, Roger et al. | 2022
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Basic block coverage for search-based unit testing and crash reproductionDerakhshanfar, Pouria / Devroey, Xavier / Zaidman, Andy et al. | 2022
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DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessmentYahmed, Ahmed Haj / Braiek, Houssem Ben / Khomh, Foutse / Bouzidi, Sonia / Zaatour, Rania et al. | 2022
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Exploring the relationship between performance metrics and cost saving potential of defect prediction modelsTunkel, Steffen / Herbold, Steffen et al. | 2022
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A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault predictionLomio, Francesco / Moreschini, Sergio / Lenarduzzi, Valentina et al. | 2022
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C2M: a maturity model for the evaluation of communication in distributed software developmentJunior, Ivaldir de Farias / Marczak, Sabrina / Santos, Rodrigo / Rodrigues, Cleyton / Moura, Hermano et al. | 2022
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Developers’ perception matters: machine learning to detect developer-sensitive smellsOliveira, Daniel / Assunção, Wesley K. G. / Garcia, Alessandro / Fonseca, Baldoino / Ribeiro, Márcio et al. | 2022
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One-off events? An empirical study of hackathon code creation and reuseMahmoud, Ahmed Samir Imam / Dey, Tapajit / Nolte, Alexander / Mockus, Audris / Herbsleb, James D. et al. | 2022
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Test smells 20 years later: detectability, validity, and reliabilityPanichella, Annibale / Panichella, Sebastiano / Fraser, Gordon / Sawant, Anand Ashok / Hellendoorn, Vincent J. et al. | 2022
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On the documentation of self-admitted technical debt in issuesXavier, Laerte / Montandon, João Eduardo / Ferreira, Fabio / Brito, Rodrigo / Valente, Marco Tulio et al. | 2022
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FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect predictionZhang, Tanghaoran / Yu, Yue / Mao, Xinjun / Lu, Yao / Li, Zhixing / Wang, Huaimin et al. | 2022
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Modeling function-level interactions for file-level bug localizationLiang, Hongliang / Hang, Dengji / Li, Xiangyu et al. | 2022
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SmartFast: an accurate and robust formal analysis tool for Ethereum smart contractsLi, Zhaoxuan / Lu, Siqi / Zhang, Rui / Xue, Rui / Ma, Wenqiu / Liang, Rujin / Zhao, Ziming / Gao, Sheng et al. | 2022
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Intensifying the search-based optimization of product line architectures with crossover operatorsda Silva, Diego Fernandes / Okada, Luiz Fernando / Assunção, Wesley K. G. / Colanzi, Thelma Elita et al. | 2022
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The role of bug report evolution in reliable fixing estimationVieira, Renan G. / Mattos, César Lincoln C. / Rocha, Lincoln S. / Gomes, João Paulo P. / Paixão, Matheus et al. | 2022
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SPVF: security property assisted vulnerability fixing via attention-based modelsZhou, Zhou / Bo, Lili / Wu, Xiaoxue / Sun, Xiaobing / Zhang, Tao / Li, Bin / Zhang, Jiale / Cao, Sicong et al. | 2022
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Static detection of equivalent mutants in real-time model-based mutation testingBasile, Davide / Beek, Maurice H. ter / Lazreg, Sami / Cordy, Maxime / Legay, Axel et al. | 2022
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StateAFL: Greybox fuzzing for stateful network serversNatella, Roberto et al. | 2022
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A controlled experiment of different code representations for learning-based program repairNamavar, Marjane / Nashid, Noor / Mesbah, Ali et al. | 2022
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Stubbifier: debloating dynamic server-side JavaScript applicationsTurcotte, Alexi / Arteca, Ellen / Mishra, Ashish / Alimadadi, Saba / Tip, Frank et al. | 2022
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On the usage and development of deep learning compilers: an empirical study on TVMWu, Xiongfei / Yang, Jinqiu / Ma, Lei / Xue, Yinxing / Zhao, Jianjun et al. | 2022
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Using Screenshot Attachments in Issue Reports for TriagingAktas, Ethem Utku / Yilmaz, Cemal et al. | 2022
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An empirical evaluation of a novel domain-specific language – modelling vehicle routing problems with AthosHoffmann, Benjamin / Urquhart, Neil / Chalmers, Kevin / Guckert, Michael et al. | 2022
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Static test flakiness prediction: How Far Can We Go?Pontillo, Valeria / Palomba, Fabio / Ferrucci, Filomena et al. | 2022
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A large scale analysis of mHealth app user reviewsHaggag, Omar / Grundy, John / Abdelrazek, Mohamed / Haggag, Sherif et al. | 2022
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TestEvoViz: visualizing genetically-based test coverage evolutionCota Vidaurre, Andreina / Cusi López, Evelyn / Sandoval Alcocer, Juan Pablo / Bergel, Alexandre et al. | 2022
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Deja Vu: semantics-aware recording and replay of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks—methodology and analysesZyrianov, Vlas / Peterson, Cole S. / Guarnera, Drew T. / Behler, Joshua / Weston, Praxis / Sharif, Bonita / Maletic, Jonathan I. et al. | 2022
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FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-codeBorovits, Nemania / Kumara, Indika / Di Nucci, Dario / Krishnan, Parvathy / Palma, Stefano Dalla / Palomba, Fabio / Tamburri, Damian A. / Heuvel, Willem-Jan van den et al. | 2022
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Comparing ϕ and the F-measure as performance metrics for software-related classificationsLavazza, Luigi / Morasca, Sandro et al. | 2022
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How Scrum adds value to achieving software quality?Alami, Adam / Krancher, Oliver et al. | 2022
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Learning from what we know: How to perform vulnerability prediction using noisy historical dataGarg, Aayush / Degiovanni, Renzo / Jimenez, Matthieu / Cordy, Maxime / Papadakis, Mike / Le Traon, Yves et al. | 2022