Search Results - "Jahangirova, Gunel"

Testing machine learning based systems: a systematic mapping by Riccio, Vincenzo, Jahangirova, Gunel, Stocco, Andrea, Humbatova, Nargiz, Weiss, Michael, Tonella, Paolo

“…Context: A Machine Learning based System (MLS) is a software system including one or more components that learn how to perform a task from a given data set…”
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An Empirical Validation of Oracle Improvement by Jahangirova, Gunel, Clark, David, Harman, Mark, Tonella, Paolo

“…We propose a human-in-the-loop approach for oracle improvement and analyse whether the proposed oracle improvement process is helping developers to create…”
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GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming by Ayerdi, Jon, Terragni, Valerio, Jahangirova, Gunel, Arrieta, Aitor, Tonella, Paolo

“…Metamorphic testing is a popular approach that aims to alleviate the oracle problem in software testing. At the core of this approach are Metamorphic Relations…”
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DeepCrime: from Real Faults to Mutation Testing Tool for Deep Learning by Humbatova, Nargiz, Jahangirova, Gunel, Tonella, Paolo

“…The recent advance of Deep Learning (DL) due to its human-competitive performance in complex and often safety-critical tasks, reveals many gaps in their…”
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SBFT Tool Competition 2023 - Java Test Case Generation Track by Jahangirova, Gunel, Terragni, Valerio

“…This paper details the eleventh edition of Java Unit Testing Competition, covering its setup, challenges, and findings. The competition featured five Java test…”
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Quality Metrics and Oracles for Autonomous Vehicles Testing by Jahangirova, Gunel, Stocco, Andrea, Tonella, Paolo

“…The race for deploying AI-enabled autonomous vehicles (AVs) on public roads is based on the promise that such self-driving cars will be as safe as or safer…”
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GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming by Ayerdi, Jon, Terragni, Valerio, Jahangirova, Gunel, Arrieta, Aitor, Tonella, Paolo

“…Metamorphic testing is a popular approach that aims to alleviate the oracle problem in software testing. At the core of this approach are Metamorphic Relations…”
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Repairing DNN Architecture: Are We There Yet? by Kim, Jinhan, Humbatova, Nargiz, Jahangirova, Gunel, Tonella, Paolo, Yoo, Shin

“…As Deep Neural Networks (DNNs) are rapidly being adopted within large software systems, software developers are increasingly required to design, train, and…”
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Taxonomy of Real Faults in Deep Learning Systems by Humbatova, Nargiz, Jahangirova, Gunel, Bavota, Gabriele, Riccio, Vincenzo, Stocco, Andrea, Tonella, Paolo

“…The growing application of deep neural networks in safety-critical domains makes the analysis of faults that occur in such systems of enormous importance. In…”
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DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score by Riccio, Vincenzo, Humbatova, Nargiz, Jahangirova, Gunel, Tonella, Paolo

“…Deep Learning (DL) components are routinely integrated into software systems that need to perform complex tasks such as image or natural language processing…”
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Software testing in the machine learning era by Stocco, Andrea, Shehory, Onn, Jahangirova, Gunel, Riccio, Vincenzo, Barash, Guy, Farchi, Eitan, Saha, Diptikalyan

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Software testing in the machine learning era: Special issue of the empirical Software Engineering (EMSE) journal by Stocco, Andrea, Shehory, Onn, Jahangirova, Gunel, Riccio, Vincenzo, Barash, Guy, Farchi, Eitan, Saha, Diptikalyan

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An Empirical Evaluation of Mutation Operators for Deep Learning Systems by Jahangirova, Gunel, Tonella, Paolo

“…Deep Learning (DL) is increasingly adopted to solve complex tasks such as image recognition or autonomous driving. Companies are considering the inclusion of…”
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GAssert: A Fully Automated Tool to Improve Assertion Oracles by Terragni, Valerio, Jahangirova, Gunel, Tonella, Paolo, Pezze, Mauro

“…This demo presents the implementation and usage details of GASSERT, the first tool to automatically improve assertion oracles. Assertion oracles are executable…”
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Experience Report of the AWS+KCL Impact Accelerator for Public Sector Engagement by Bentley, Caitlin, Simperl, Elena, Bainbridge, Mike, Ogden, Daisy, Leonardos, Stefanos, Jahangirova, Gunel, Walker, Joanna, Yin, Wenjie, Hampson, Christopher

“…This industry experience report chronicles the experience of developing an impact-focused group project module within a computer science master's programme at…”
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Oracle Assessment, Improvement and Placement by Jahangirova, Gunel

“…The oracle problem remains one of the key challenges in software testing, for which little automated support has been developed so far. This thesis analyses…”
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Welcome from the AIST 2023 Chairs

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Spectral Analysis of the Relation between Deep Learning Faults and Neural Activation Values by Humbatova, Nargiz, Jahangirova, Gunel, Tonella, Paolo

“…The growing adoption of Deep Learning (DL) systems in all areas of life makes the exposure and repair of errors in such systems a task of paramount importance…”
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Message from SBFT 2024 Program Chairs by Gambi, Alessio, Jahangirova, Gunel, Riccio, Vincenzo

“…Welcome to the 17th edition of the International Workshop on Search-Based and Fuzz Testing (SBFT), formerly the International Workshop on Search-Based Software…”
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Repairing DNN Architecture: Are We There Yet? by Kim, Jinhan, Humbatova, Nargiz, Jahangirova, Gunel, Tonella, Paolo, Yoo, Shin

“…As Deep Neural Networks (DNNs) are rapidly being adopted within large software systems, software developers are increasingly required to design, train, and…”
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