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Viewing Publication 1 - 100 from 622

2023

CIGAR: Contrastive Learning for GitHub Action RecommendationJiangnan Huang 0001, Bin Lin. SCAM 2023: 61-71 [doi]

PTLVD:Program Slicing and Transformer-based Line-level Vulnerability Detection SystemTao Peng 0006, Shixu Chen, Fei Zhu, Junwei Tang, Junping Liu, Xinrong Hu. SCAM 2023: 162-173 [doi]

Reproducing and Improving the BugsInPy DatasetFaustino Aguilar, Samuel Grayson, Darko Marinov. SCAM 2023: 260-264 [doi]

When to Let the Developer Guide: Trade-offs Between Open and Guided Test AmplificationCarolin E. Brandt, Danyao Wang, Andy Zaidman. SCAM 2023: 231-241 [doi]

ACER: An AST-based Call Graph Generator FrameworkAndrew Chen, Yanfu Yan, Denys Poshyvanyk. SCAM 2023: 254-259 [doi]

Generating Understandable Unit Tests through End-to-End Test Scenario CarvingAmirhossein Deljouyi, Andy Zaidman. SCAM 2023: 107-118 [doi]

Uncovering the Hidden Risks: The Importance of Predicting Bugginess in Untouched MethodsMatteo Esposito, Davide Falessi. SCAM 2023: 277-282 [doi]

Can We Trust the Default Vulnerabilities Severity?Matteo Esposito, Sergio Moreschini, Valentina Lenarduzzi, David Hästbacka, Davide Falessi. SCAM 2023: 265-270 [doi]

On Developing and Improving Tools for Architecture-Smell Tracking in Java SystemsPhilipp Gnoyke, Sandro Schulze, Jacob Krüger. SCAM 2023: 248-253 [doi]

On the Impact of Language Selection for Training and Evaluating Programming Language ModelsJonathan Katzy, Maliheh Izadi, Arie van Deursen. SCAM 2023: 271-276 [doi]

PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel EventsMohammed Adib Khan, Morteza Noferesti, Naser Ezzati Jivan. SCAM 2023: 151-161 [doi]

Quality Assurance Awareness in Open Source Software Projects on GitHubAli Khatami, Andy Zaidman. SCAM 2023: 174-185 [doi]

Leveraging User-Defined Identifiers for Counterfactual Data Generation in Source Code Vulnerability DetectionHongyu Kuang, Feng Yang, Long Zhang 0004, Gaigai Tang, Lin Yang. SCAM 2023: 143-150 [doi]

Automating Test-Specific Refactoring Mining: A Mixed-Method InvestigationLuana Almeida Martins, Heitor A. X. Costa, Márcio Ribeiro 0001, Fabio Palomba, Ivan Machado. SCAM 2023: 13-24 [doi]

Explaining Transformer-based Code Models: What Do They Learn? When They Do Not Work?Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati. SCAM 2023: 96-106 [doi]

Unboxing Default Argument Breaking Changes in Scikit LearnJoão Eduardo Montandon, Luciana Lourdes Silva, Cristiano Politowski, Ghizlane El-Boussaidi, Marco Túlio Valente. SCAM 2023: 209-219 [doi]

23rd IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2023, Bogotá, Colombia, October 2-3, 2023Leon Moonen, Christian D. Newman, Alessandra Gorla, editors, IEEE, 2023. [doi]

Symbolic Execution to Detect Semantic Merge ConflictsWard Muylaert, Johannes Härtel, Coen De Roover. SCAM 2023: 186-197 [doi]

Calibrating Deep Learning-based Code Smell Detection using Human FeedbackHimesh Nandani, Mootez Saad, Tushar Sharma 0001. SCAM 2023: 37-48 [doi]

The Docker Hub Image Inheritance Network: Construction and Empirical InsightsRuben Opdebeeck, Jonas Lesy, Ahmed Zerouali, Coen De Roover. SCAM 2023: 198-208 [doi]

How They Relate and Leave: Understanding Atoms of Confusion in Open-Source Java ProjectsOton Pinheiro, Lincoln S. Rocha, Windson Viana. SCAM 2023: 119-130 [doi]

Applying the Universal Version History Concept to Help De-Risk Copy-Based Code ReuseDavid Reid, Audris Mockus. SCAM 2023: 1-12 [doi]

Using the TypeScript compiler to fix erroneous Node.js snippetsBrittany Reid, Christoph Treude, Markus Wagner 0007. SCAM 2023: 220-230 [doi]

Evolutionary Feature Dependencies: Analyzing Feature Co-Changes in C SystemsSandro Schulze, Phillipp Engelke, Jacob Krüger. SCAM 2023: 84-95 [doi]

Do Code Quality and Style Issues Differ Across (Non-)Machine Learning Notebooks? Yes!Md. Saeed Siddik, Cor-Paul Bezemer. SCAM 2023: 72-83 [doi]

Enabling Go Program Analysis in RascalLuke Swearngan, Mark Hills 0001. SCAM 2023: 242-247 [doi]

Behind Developer Contributions on Conflicting Merge ScenariosGustavo Vale, Eduardo Fernandes, Eduardo Figueiredo 0001, Sven Apel. SCAM 2023: 25-36 [doi]

How Well Can Masked Language Models Spot Identifiers That Violate Naming Guidelines?Johannes Villmow, Viola Campos, Jean Petry, Amine Abbad Andaloussi, Adrian Ulges, Barbara Weber. SCAM 2023: 131-142 [doi]

Change Pattern Detection for Optimising Incremental Static AnalysisCindy Wauters, Jens Van der Plas, Quentin Stiévenart, Coen De Roover. SCAM 2023: 49-60 [doi]

2021

What Do Developers Discuss about Code Comments?Pooja Rani 0001, Mathias Birrer, Sebastiano Panichella, Mohammad Ghafari, Oscar Nierstrasz. SCAM 2021: 153-164 [doi]

Do Comments follow Commenting Conventions? A Case Study in Java and PythonPooja Rani 0001, Suada Abukar, Nataliia Stulova, Alexandre Bergel, Oscar Nierstrasz. SCAM 2021: 165-169 [doi]

An Experimental Analysis of Graph-Distance Algorithms for Comparing API UsagesSebastian Nielebock 0001, Paul Blockhaus, Jacob Krüger, Frank Ortmeier. SCAM 2021: 214-225 [doi]

21st IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2021, Luxembourg, September 27-28, 2021IEEE, 2021. [doi]

Improving Readability of Scratch Programs with Search-based RefactoringFelix Adler, Gordon Fraser 0001, Eva Gründinger, Nina Körber, Simon Labrenz, Jonas Lerchenberger, Stephan Lukasczyk, Sebastian Schweikl. SCAM 2021: 120-130 [doi]

PYREF: Refactoring Detection in Python ProjectsHassan Atwi, Bin Lin 0008, Nikolaos Tsantalis, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi, Gabriele Bavota, Michele Lanza. SCAM 2021: 136-141 [doi]

Measuring source code conciseness across programming languages using compressionLodewijk Bergmans, Xander Schrijen, Edwin Ouwehand, Magiel Bruntink. SCAM 2021: 47-57 [doi]

Empirical Comparison of Black-box Test Case Generation Tools for RESTful APIsDavide Corradini, Amedeo Zampieri, Michele Pasqua, Mariano Ceccato. SCAM 2021: 226-236 [doi]

D-REX: Static Detection of Relevant Runtime Exceptions with Location Aware TransformerFarima Farmahinifarahani, Yadong Lu, Vaibhav Saini, Pierre Baldi, Cristina V. Lopes. SCAM 2021: 198-208 [doi]

Towards Understanding Developers' Machine-Learning Challenges: A Multi-Language Study on Stack OverflowAlaleh Hamidi, Giuliano Antoniol, Foutse Khomh, Massimiliano Di Penta, Mohammad Hamidi. SCAM 2021: 58-69 [doi]

Formal Definition and Automatic Generation of Semantic Metrics: An Empirical Study on Bug PredictionTing Hu, Ran Mo, Pu Xiong, Zengyang Li, Qiong Feng. SCAM 2021: 92-102 [doi]

Towards a Taxonomy of Inline Code Comment SmellsElgun Jabrayilzade, Olcaytu Gürkan, Eray Tüzün. SCAM 2021: 131-135 [doi]

SootFX: A Static Code Feature Extraction Tool for Java and AndroidKadiray Karakaya, Eric Bodden. SCAM 2021: 181-186 [doi]

Fex: Assisted Identification of Domain Features from C ProgramsPatrick Müller, Krishna Narasimhan, Mira Mezini. SCAM 2021: 170-180 [doi]

Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack OverflowAmirHossein Naghshzan, Latifa Guerrouj, Olga Baysal. SCAM 2021: 142-152 [doi]

Unambiguity of Python Language Elements for Static AnalysisBence Nagy, Tibor Brunner, Zoltán Porkoláb. SCAM 2021: 70-75 [doi]

[Engineering] eNYPD - Entry Points Detector Jakarta Server Faces Use CaseRodrigue Wete Nguempnang, Bernhard J. Berger, Karsten Sohr. SCAM 2021: 30-35 [doi]

Naming Amplified Tests Based on Improved CoverageNienke Nijkamp, Carolin E. Brandt, Andy Zaidman. SCAM 2021: 237-241 [doi]

Removing Redundant Statements in Amplified Test CasesWessel Oosterbroek, Carolin E. Brandt, Andy Zaidman. SCAM 2021: 242-246 [doi]

Jicer: Simplifying Cooperative Android App Analysis TasksFelix Pauck, Heike Wehrheim. SCAM 2021: 187-197 [doi]

How does Migrating to Kotlin Impact the Run-time Efficiency of Android Apps?Michael Peters, Gian Luca Scoccia, Ivano Malavolta. SCAM 2021: 36-46 [doi]

SecuCheck: Engineering configurable taint analysis for software developersGoran Piskachev, Ranjith Krishnamurthy, Eric Bodden. SCAM 2021: 24-29 [doi]

BoostNSift: A Query Boosting and Code Sifting Technique for Method Level Bug LocalizationAbdul Razzaq, Jim Buckley, James Vincent Patten, Muslim Chochlov, Ashish Rajendra Sai. SCAM 2021: 81-91 [doi]

A Precise Framework for Source-Level Control-Flow AnalysisIdriss Riouak, Christoph Reichenbach, Görel Hedin, Niklas Fors. SCAM 2021: 1-11 [doi]

Linkage of Similar Code Snippets Assessed in the Micro Benchmark Service jsPerfKazuya Saiki, Akinori Ihara. SCAM 2021: 247-251 [doi]

Method Calls Frequency-Based Tie-Breaking Strategy For Software Fault LocalizationQusay Idrees Sarhan, Béla Vancsics, Árpád Beszédes. SCAM 2021: 103-113 [doi]

CharmFL: A Fault Localization Tool for PythonQusay Idrees Sarhan, Attila Szatmári, Rajmond Tóth, Árpád Beszédes. SCAM 2021: 114-119 [doi]

Modeling the Effects of Global Variables in Data-Flow Analysis for C/C++Philipp Dominik Schubert, Florian Sattler, Fabian Schiebel, Ben Hermann 0001, Eric Bodden. SCAM 2021: 12-17 [doi]

Into the Woods: Experiences from Building a Dataflow Analysis Framework for C/C++Philipp Dominik Schubert, Richard Leer, Ben Hermann 0001, Eric Bodden. SCAM 2021: 18-23 [doi]

Towards a taxonomy for annotation of data science experiment repositoriesShangeetha Sivasothy, Scott Barnett, Niroshinie Fernando, Rajesh Vasa, Roopak Sinha, Andrew J. Simmons. SCAM 2021: 76-80 [doi]

QSES: Quasi-Static Executable SlicesQuentin Stiévenart, David W. Binkley, Coen De Roover. SCAM 2021: 209-213 [doi]

2020

20th IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2020, Adelaide, Australia, September 28 - October 2, 2020IEEE, 2020. [doi]

Understanding and Characterizing Changes in Bugs Priority: The Practitioners' PerceptiveRafi Almhana, Thiago do Nascimento Ferreira, Marouane Kessentini, Tushar Sharma. SCAM 2020: 87-97 [doi]

Fix that Fix Commit: A real-world remediation analysis of JavaScript projectsVinuri Bandara, Thisura Rathnayake, Nipuna Weerasekara, Charitha Elvitigala, Kenneth Thilakarathna, Primal Wijesekera, Chamath Keppitiyagama. SCAM 2020: 198-202 [doi]

Static Extraction of Enforced Authorization Policies SeeAuthzBernhard J. Berger, Rodrigue Wete Nguempnang, Karsten Sohr, Rainer Koschke. SCAM 2020: 187-197 [doi]

An Investigation into the Effect of Control and Data Dependence Paths on Predicate TestabilityDave W. Binkley, James Glenn, Abdullah Alsharif, Phil McMinn. SCAM 2020: 160-170 [doi]

DroidXP: A Benchmark for Supporting the Research on Mining Android SandboxesFrancisco Handrick da Costa, Ismael Medeiros, Pedro Costa, Thales Menezes, Marcos Vinícius, Rodrigo Bonifácio, Edna Dias Canedo. SCAM 2020: 143-148 [doi]

Incremental Flow Analysis through Computational Dependency ReificationJens Van der Plas, Quentin Stiévenart, Noah Van Es, Coen De Roover. SCAM 2020: 25-36 [doi]

GitHub Label EmbeddingsJoão P. Diniz, Daniel Cruz, Fabio Ferreira, Cleiton Silva Tavares, Eduardo Figueiredo 0001. SCAM 2020: 249-253 [doi]

Free the Bugs: Disclosing Blocking Violations in Reactive ProgrammingFelix Dobslaw, Morgan Vallin, Robin Sundström. SCAM 2020: 177-186 [doi]

Failure of One, Fall of Many: An Exploratory Study of Software Features for Defect PredictionGeanderson Esteves dos Santos, Eduardo Figueiredo 0001. SCAM 2020: 98-109 [doi]

MAF: A Framework for Modular Static Analysis of Higher-Order LanguagesNoah Van Es, Jens Van der Plas, Quentin Stiévenart, Coen De Roover. SCAM 2020: 37-42 [doi]

A Parallel Worklist Algorithm for Modular AnalysesNoah Van Es, Quentin Stiévenart, Jens Van der Plas, Coen De Roover. SCAM 2020: 1-12 [doi]

Engineering a Converter Between Two Domain-Specific Languages for SortingJohan Fabry, Ynès Jaradin, Aynel Gül. SCAM 2020: 221-226 [doi]

Adapting Queries to Database Schema Changes in Hybrid PolystoresJérôme Fink, Maxime Gobert, Anthony Cleve. SCAM 2020: 127-131 [doi]

Does code review really remove coding convention violations?DongGyun Han, Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giovanni Rosa. SCAM 2020: 43-53 [doi]

Optimizing Away JavaScript ObfuscationAdrian Herrera. SCAM 2020: 215-220 [doi]

Annotation practices in Android appsAjay Kumar Jha, Sarah Nadi. SCAM 2020: 132-142 [doi]

DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software TracingNaser Ezzati Jivan, Quentin Fournier, Michel R. Dagenais, Abdelwahab Hamou-Lhadj. SCAM 2020: 149-159 [doi]

Automated Identification of On-hold Self-admitted Technical DebtRungroj Maipradit, Bin Lin 0008, Csaba Nagy 0001, Gabriele Bavota, Michele Lanza, Hideaki Hata, Kenichi Matsumoto. SCAM 2020: 54-64 [doi]

An Approach for the Identification of Information Leakage in Automotive Infotainment systemsAbdul Moiz, Manar H. Alalfi. SCAM 2020: 110-114 [doi]

Looking for Software Defects? First Find the NonconformistsSara Moshtari, Joanna C. S. Santos, Mehdi Mirakhorli, Ahmet Okutan. SCAM 2020: 75-86 [doi]

Techniques for Efficient Automated Elimination of False PositivesTukaram Muske, Alexander Serebrenik. SCAM 2020: 259-263 [doi]

Does Infrastructure as Code Adhere to Semantic Versioning? An Analysis of Ansible Role EvolutionRuben Opdebeeck, Ahmed Zerouali, Camilo Velázquez-Rodríguez, Coen De Roover. SCAM 2020: 238-248 [doi]

Ad hoc Test Generation Through Binary RewritingAnthony Saieva, Shirish Singh, Gail E. Kaiser. SCAM 2020: 115-126 [doi]

Can Refactorings Indicate Design Tradeoffs?Thomas Schweizer, Vassilis Zafeiris, Marios Fokaefs, Michalis Famelis. SCAM 2020: 70-74 [doi]

Out of Sight, Out of Place: Detecting and Assessing Swapped ArgumentsRoger Scott, Joseph Ranieri, Lucja Kot, Vineeth Kashyap. SCAM 2020: 227-237 [doi]

Compositional Information Flow Analysis for WebAssembly ProgramsQuentin Stiévenart, Coen De Roover. SCAM 2020: 13-24 [doi]

Towards Detecting Inconsistent Comments in Java Source Code AutomaticallyNataliia Stulova, Arianna Blasi, Alessandra Gorla, Oscar Nierstrasz. SCAM 2020: 65-69 [doi]

The Role of Implicit Conversions in Erroneous Function Argument Swapping in C++Richárd Szalay, Ábel Sinkovics, Zoltán Porkoláb. SCAM 2020: 203-214 [doi]

DCT: An Scalable Multi-Objective Module Clustering ToolAna Paula M. Tarchetti, Luis Henrique Vieira Amaral, Marcos C. Oliveira, Rodrigo Bonifácio, Gustavo Pinto 0001, David Lo 0001. SCAM 2020: 171-176 [doi]

MUTAMA: An Automated Multi-label Tagging Approach for Software Libraries on MavenCamilo Velázquez-Rodríguez, Coen De Roover. SCAM 2020: 254-258 [doi]

2019

19th International Working Conference on Source Code Analysis and Manipulation, SCAM 2019, Cleveland, OH, USA, September 30 - October 1, 2019IEEE, 2019. [doi]

Less is More: From Multi-objective to Mono-objective Refactoring via Developer's Knowledge ExtractionVahid Alizadeh, Houcem Fehri, Marouane Kessentini. SCAM 2019: 181-192 [doi]

A Study on the Effects of Exception Usage in Open-Source C++ SystemsKirsten Bradley, Michael Godfrey. SCAM 2019: 1-11 [doi]

Evaluating Automatic Fault Localization Using Markov ProcessesTim A. D. Henderson, Andy Podgurski, Yigit Küçük. SCAM 2019: 115-126 [doi]

Automated Customized Bug-Benchmark GenerationVineeth Kashyap, Jason Ruchti, Lucja Kot, Emma Turetsky, Rebecca Swords, Shih An Pan, Julien Henry, David Melski, Eric Schulte. SCAM 2019: 103-114 [doi]

Movement Patterns and Trajectories in Three-Dimensional Software VisualizationSteinbeck Marcel, Koschke Rainer, Marc Rudel. SCAM 2019: 163-174 [doi]

Rebasing in Code Review Considered Harmful: A Large-Scale Empirical InvestigationMatheus Paixão, Paulo Henrique Maia. SCAM 2019: 45-55 [doi]

Interactive Refactoring Documentation BotSoumaya Rebai, Oussama Ben Sghaier, Vahid Alizadeh, Marouane Kessentini, Meriem Chater. SCAM 2019: 152-162 [doi]

WAL: A Tool for Diagnosing Accessibility Issues and Evolving Legacy Web Systems at RuntimeWanessa Teotônio, Pablo Gonzalez, Paulo Maia, Pedro Muniz. SCAM 2019: 175-180 [doi]

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