Tegawendé François D Assise BISSYANDE
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| Faculty or Centre | Interdisciplinary Centre for Security, Reliability and Trust | ||||
| Department | TruX | ||||
| Postal Address |
Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-Kalergi L-1359 Luxembourg |
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| Campus Office | E 105 | ||||
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| Telephone | (+352) 46 66 44 5477 | ||||
In press
2023
Sensitive and Personal Data: What Exactly Are You Talking About?; ; ; ;
in 10th International Conference on Mobile Software Engineering and Systems 2023 (2023, May)
Reliable Fix Patterns Inferred from Static Checkers for Automated Program Repair; ; ; ; ; ; ; ;
in ACM Transactions on Software Engineering and Methodology (2023)
Negative Results of Fusing Code and Documentation for Learning to Accurately Identify Sensitive Source and Sink Methods An Application to the Android Framework for Data Leak Detection; ; ; ; ;
in 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (2023, March)
2022
The Devil is in the Details: Unwrapping the Cryptojacking Malware Ecosystem on Android; ; ; ;
in 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM) (2022, October)
Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets; ; ; ; ;
in 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) (2022)
Towards Refined Classifications Driven by SHAP Explanations; ; ; ; ; ; ; ;
in Holzinger, Andreas; Kieseberg, Peter; Tjoa, A. Min; Weippl, Edgar (Eds.) Machine Learning and Knowledge Extraction (2022, August 11)
On the Suitability of SHAP Explanations for Refining Classifications; ; ; ; ; ; ; ;
in In Proceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART 2022) (2022, February)
Assessing the opportunity of combining state-of-the-art Android malware detectors; ; ;
in Empirical Software Engineering (2022), 28
A Deep Dive inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores; ; ;
in ACM Transactions on Privacy and Security (2022), 25(2),
iBiR: Bug Report driven Fault Injection; ; ; ; ; ;
in ACM Transactions on Software Engineering and Methodology (2022)
DigBug—Pre/post-processing operator selection for accurate bug localization; ; ; ; ; ; ;
in Journal of Systems and Software (2022), 189
LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish; ; ; ; ; ; ; ;
in Proceedings of the Language Resources and Evaluation Conference, 2022 (2022, June)
A model-based framework for inter-app Vulnerability analysis of Android applications; ; ; ;
in Software: Practice and Experience (2022)
PEELER: Learning to Effectively Predict Flakiness without Running Tests; ; ; ; ; ; ;
in Proceedings of the 38th IEEE International Conference on Software Maintenance and Evolution (2022, October)
TriggerZoo: A Dataset of Android Applications Automatically Infected with Logic Bombs; ;
in 19th International Conference on Mining Software Repositories, Data Showcase, (MSR 2022) (2022, May 23)
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis; ; ; ; ; ; ; ;
in 44th International Conference on Software Engineering (ICSE 2022) (2022, May 21)
Difuzer: Uncovering Suspicious Hidden Sensitive Operations in Android Apps; ; ;
in 44th International Conference on Software Engineering (ICSE 2022) (2022, May 21)
SSPCATCHER: Learning to catch security patches; ; ; ; ; ;
in Empirical Software Engineering (2022), 27
Demystifying Hidden Sensitive Operations in Android apps; ; ; ; ; ; ;
in ACM Transactions on Software Engineering and Methodology (2022)
Predicting Patch Correctness Based on the Similarity of Failing Test Cases; ; ; ; ; ; ;
in ACM Transactions on Software Engineering and Methodology (2022)
The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches; ; ; ; ; ; ; ; ;
in ACM Transactions on Software Engineering and Methodology (2022)
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness; ; ; ; ; ; ;
in Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness (2022)
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness; ; ; ; ; ; ;
in Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness (2022)
Crex: Predicting patch correctness in automated repair of C programs through transfer learning of execution semantics; ; ; ; ; ; ;
in Information and Software Technology (2022), 152
2021
A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain; ; ; ; ; ;
in Companion Proceedings of the Web Conference 2021 (WWW '21 Companion), April 19--23, 2021, Ljubljana, Slovenia (2021, April 19)
Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection; ; ;
in Empirical Software Engineering (2021), 26
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection Based on Image Representation of Bytecode; ; ; ; ;
in Communications in Computer and Information Science (2021)
What You See is What it Means! Semantic Representation Learning of Code based on Visualization; ; ; ; ;
in ACM Transactions on Software Engineering and Methodology (2021)
ANCHOR: locating android framework-specific crashing faults; ; ; ; ; ;
in Automated Software Engineering (2021)
A critical review on the evaluation of automated program repair systems; ; ; ; ; ;
in Journal of Systems and Software (2021)
A First Look at Security Risks of Android TV Apps; ; ; ;
in A First Look at Security Risks of Android TV Apps (2021, November 15)
Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling; ; ; ; ;
in 26th International Conference on Applications of Natural Language to Information Systems (2021, June 25)
On the Impact of Flaky Tests in Automated Program Repair; ; ; ;
in 28th IEEE International Conference on Software Analysis, Evolution and Reengineering, Hawaii 9-12 March 2021 (2021, March 10)
Revisiting the VCCFinder approach for the identification of vulnerability-contributing commits; ; ; ; ;
in Empirical Software Engineering (2021), 26
A First Look at Android Applications in Google Play related to Covid-19; ; ;
in Empirical Software Engineering (2021)
RAICC: Revealing Atypical Inter-Component Communication in Android Apps; ; ;
in 43rd International Conference on Software Engineering (ICSE) (2021, May)
Android Malware Detection: Looking beyond Dalvik Bytecode; ; ;
in 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) (2021, November 15)
Taming Reflection: An Essential Step Toward Whole-program Analysis of Android Apps; ; ; ; ;
in ACM Transactions on Software Engineering and Methodology (2021), 30(3), 1-36
Where were the repair ingredients for Defects4j bugs?; ; ; ; ; ; ; ; ;
in Empirical Software Engineering (2021), 26(6), 1--33
Revisiting Test Cases to Boost Generate-and-Validate Program Repair; ; ; ; ; ;
in IEEE International Conference on Software Maintenance and Evolution (ICSME) (2021, September)
On the Impact of Sample Duplication in Machine Learning based Android Malware Detection; ; ; ; ; ;
in ACM Transactions on Software Engineering and Methodology (2021), 30(3), 1-38
SmartGift: Learning to Generate Practical Inputs for Testing Smart Contracts; ; ; ; ;
in IEEE International Conference on Software Maintenance and Evolution (ICSME) (2021, September)
2020
Understanding the Evolution of Android App Vulnerabilities; ; ;
in IEEE Transactions on Reliability (2020)
Borrowing your enemy's arrows: the case of code reuse in android via direct inter-app code invocation; ; ; ;
in ESEC/FSE 2020: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2020, November)
Data-driven simulation and optimization for covid-19 exit strategies; ; ; ; ; ; ;
in Ghamizi, Salah; Rwemalika, Renaud; Cordy, Maxime; Veiber, Lisa; Bissyande, Tegawendé François D Assise; Papadakis, Mike; Klein, Jacques; Le Traon, Yves (Eds.) Data-driven simulation and optimization for covid-19 exit strategies (2020, August)
FixMiner: Mining relevant fix patterns for automated program repair; ; ; ; ; ;
in Empirical Software Engineering (2020)
CDA: Characterising Deprecated Android APIs; ; ; ; ;
in Empirical Software Engineering (2020), 24(118), 1-41
Knowledgezooclient: Constructing knowledge graph for android; ; ; ; ; ;
in The 3rd International Workshop on Advances in Mobile App Analysis (2020, September)
On the Efficiency of Test Suite based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs; ; ; ; ; ; ; ; ;
in 42nd ACM/IEEE International Conference on Software Engineering (ICSE) (2020, May)
MadDroid: Characterizing and Detecting Devious Ad Contents for Android Apps; ; ; ; ; ; ; ;
in Proceedings of The Web Conference 2020 (2020, April)
Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition; ; ; ;
in Proceedings of the 28th International Conference on Computational Linguistics (2020, December)
Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair; ; ; ; ; ;
in Tian, Haoye (Ed.) 35th IEEE/ACM International Conference on Automated Software Engineering, September 21-25, 2020, Melbourne, Australia (2020)
Challenges Towards Production-Ready Explainable Machine Learning; ; ; ;
in Veiber, Lisa; Allix, Kevin; Arslan, Yusuf; Bissyande, Tegawendé François D Assise; Klein, Jacques (Eds.) Proceedings of the 2020 USENIX Conference on Operational Machine Learning (OpML 20) (2020, July)
2019
Negative Results on Mining Crypto-API Usage Rules in Android Apps; ; ; ;
in Proceedings of the 16th International Conference on Mining Software Repositories (2019)
On the Evolution of Mobile App Complexity; ; ;
in Proceedings of 2019 24th International Conference on Engineering of Complex Computer Systems (2019)
Should You Consider Adware as Malware in Your Study?; ; ; ;
in 26th edition of the IEEE International Conference on Software Analysis, Evolution and Reengineering (2019, February 24)
Assessing the Generalizability of code2vec Token Embeddings; ;
in Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering (2019, November)
Mining Android Crash Fixes in the Absence of Issue- and Change-Tracking Systems; ; ; ;
Scientific Conference (2019, July 15)
iFixR: bug report driven program repair; ; ; ; ; ;
in ESEC/FSE 2019 Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2019, August)
Watch out for This Commit! A Study of Influential Software Changes; ; ; ; ;
in Journal of Software: Evolution and Process (2019)
Rebooting Research on Detecting Repackaged Android Apps: Literature Review and Benchmark; ;
in IEEE Transactions on Software Engineering (2019)
On Identifying and Explaining Similarities in Android Apps; ; ;
in Journal of Computer Science and Technology (2019), 34(2), 437-455
Revisiting the impact of common libraries for android-related investigations; ; ; ; ;
in Journal of Systems and Software (2019), 154
Learning to Spot and Refactor Inconsistent Method Names; ; ; ; ; ; ;
in 41st ACM/IEEE International Conference on Software Engineering (ICSE) (2019, May)
You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems; ; ; ; ;
in The 12th IEEE International Conference on Software Testing, Verification and Validation (ICST-2019) (2019, April 24)
AVATAR: Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations; ; ;
in The 26th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER-2019) (2019, February 24)
TBar: Revisiting Template-based Automated Program Repair; ; ;
in 28th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) (2019, July)
Handling duplicates in Dockerfiles families: Learning from experts; ; ; ;
in 35th IEEE International Conference on Software Maintenance and Evolution (ICSME) (2019, October)
2018
FraudDroid: Automated Ad Fraud Detection for Android Apps; ; ; ; ; ; ;
in ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018) (2018, November)
FaCoY - A Code-to-Code Search Engine; ; ; ; ; ;
in International Conference on Software Engineering (ICSE 2018) (2018, May 27)
Automated Testing of Android Apps: A Systematic Literature Review; ; ; ; ;
in IEEE Transactions on Reliability (2018)
Extracting Statistical Graph Features for Accurate and Efficient Time Series Classification; ; ; ;
in 21st International Conference on Extending Database Technology (2018, March)
MoonlightBox: Mining Android API Histories for Uncovering Release-time Inconsistencies; ;
in 29th IEEE International Symposium on Software Reliability Engineering (ISSRE) (2018, October)
CiD: Automating the Detection of API-related Compatibility Issues in Android Apps; ; ;
in International Symposium on Software Testing and Analysis (ISSTA) (2018, July)
Characterising Deprecated Android APIs; ; ; ; ;
in 15th International Conference on Mining Software Repositories (MSR 2018) (2018, May)
Mining Fix Patterns for FindBugs Violations; ; ; ;
in IEEE Transactions on Software Engineering (2018)
A Closer Look at Real-World Patches; ; ; ; ;
in 34th IEEE International Conference on Software Maintenance and Evolution (ICSME) (2018, September)
LSRepair: Live Search of Fix Ingredients for Automated Program Repair; ; ; ;
in 25th Asia-Pacific Software Engineering Conference (APSEC) (2018, December 07)
Towards Estimating and Predicting User Perception on Software Product Variants; ; ; ; ; ; ; ;
in 17th International Conference on Software Reuse (ICSR) (2018, May)
Feature location benchmark for extractive software product line adoption research using realistic and synthetic Eclipse variants; ; ; ; ;
in Information and Software Technology (2018)
Augmenting and Structuring User Queries to Support Efficient Free-Form Code Search; ; ; ; ;
in Empirical Software Engineering (2018), 90
Predicting the Fault Revelation Utility of Mutants; ; ;
in 40th International Conference on Software Engineering, Gothenburg, Sweden, May 27 - 3 June 2018 (2018)
2017
Euphony: Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware; ; ; ; ; ;
in MSR 2017 (2017, May 21)
Sensing by Proxy in Buildings with Agglomerative Clustering of Indoor Temperature Movements; ; ;
in The 32nd ACM Symposium on Applied Computing (SAC 2017) (2017, April)
SimiDroid: Identifying and Explaining Similarities in Android Apps; ;
in Abstract book of the 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (2017)
Static Analysis of Android Apps: A Systematic Literature Review; ; ; ; ; ; ;
in Information and Software Technology (2017)
On Locating Malicious Code in Piggybacked Android Apps; ; ; ; ; ;
in Journal of Computer Science and Technology (2017)
Automatically Locating Malicious Packages in Piggybacked Android Apps; ; ; ; ; ;
in Abstract book of the 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems (MobileSoft 2017) (2017, May)
Understanding Android App Piggybacking: A Systematic Study of Malicious Code Grafting; ; ; ; ; ;
in IEEE Transactions on Information Forensics and Security (2017)
Augmenting and Structuring User Queries to Support Efficient Free-Form Code Search; ; ; ; ;
Report (2017)
Comprehending Malicious Android Apps By Mining Topic-Specific Data Flow Signatures; ; ; ; ;
in Information and Software Technology (2017)
2016
AndroZoo: Collecting Millions of Android Apps for the Research Community; ; ;
in Proceedings of the 13th International Workshop on Mining Software Repositories (2016, May)
On the Lack of Consensus in Anti-Virus Decisions: Metrics and Insights on Building Ground Truths of Android Malware; ; ; ;
in Detection of Intrusions and Malware, and Vulnerability Assessment - 13th International Conference (2016)
Profiling Android Vulnerabilities; ; ;
in 2016 IEEE International Conference on Software Quality, Reliability and Security (QRS 2016) (2016, August)
DSCo-NG: A Practical Language Modeling Approach for Time Series Classification; ; ;
in The 15th International Symposium on Intelligent Data Analysis (2016, October)
Time Series Classification with Discrete Wavelet Transformed Data; ; ;
in International Journal of Software Engineering and Knowledge Engineering (2016), 26(9&10), 13611377
Time Series Classification with Discrete Wavelet Transformed Data: Insights from an Empirical Study; ; ;
in The 28th International Conference on Software Engineering and Knowledge Engineering (SEKE 2016) (2016, July)
Profiling household appliance electricity usage with n-gram language modeling; ; ; ;
in The 2016 IEEE International Conference on Industrial Technology (ICIT 2016) (2016, March)
DSCo: A Language Modeling Approach for Time Series Classification; ; ; ;
in 12th International Conference on Machine Learning and Data Mining (MLDM 2016) (2016, July)
Parameter Values of Android APIs: A Preliminary Study on 100,000 Apps; ; ;
in The 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016) (2016, March)
An Investigation into the Use of Common Libraries in Android Apps; ; ;
in The 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016) (2016, March)
Accessing Inaccessible Android APIs: An Empirical Study; ; ;
in The 32nd International Conference on Software Maintenance and Evolution (ICSME) (2016, October)
Reflection-Aware Static Analysis of Android Apps; ; ;
in The 31st IEEE/ACM International Conference on Automated Software (ASE) (2016, September)
DroidRA: Taming Reflection to Support Whole-Program Analysis of Android Apps; ; ;
in The 2016 International Symposium on Software Testing and Analysis (2016, July)
Towards a Generic Framework for Automating Extensive Analysis of Android Applications; ; ; ; ;
in The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016) (2016, April)
Mining Families of Android Applications for Extractive SPL Adoption; ; ; ; ;
in The 20th International Systems and Software Product Line Conference (SPLC 2016) (2016)
UAV degradation identification for pilot notification using machine learning techniques; ; ; ;
in Proceedings of 21st IEEE International Conference on Emerging Technologies and Factory Automation ETFA 2016 (2016, September 06)
Name Suggestions during Feature Identification: The VariClouds Approach; ; ; ;
in 20th International Systems and Software Product Line Conference (SPLC 2016) proceedings (2016)
Feature Location Benchmark for Software Families using Eclipse Community Releases; ; ; ; ;
in Software Reuse: Bridging with Social-Awareness, ICSR 2016 Proceedings (2016)
2015
Are Your Training Datasets Yet Relevant? - An Investigation into the Importance of Timeline in Machine Learning-Based Malware Detection; ; ;
in Engineering Secure Software and Systems - 7th International Symposium ESSoS 2015, Milan, Italy, March 4-6, 2015. Proceedings (2015)
Vulnerabilities of Government Websites in a Developing Country – The Case of Burkina Faso; ; ; ; ; ; ; ;
in 7th International Conference on e‐Infrastructure and e‐Services for Developing Countries (2015, December)
Potential Component Leaks in Android Apps: An Investigation into a new Feature Set for Malware Detection; ; ; ; ;
in The 2015 IEEE International Conference on Software Quality, Reliability and Security (QRS 2015) (2015, August)
ApkCombiner: Combining Multiple Android Apps to Support Inter-App Analysis; ; ; ;
in International Conference on ICT Systems Security and Privacy Protection (SEC 2015) (2015, May)
IccTA: Detecting Inter-Component Privacy Leaks in Android Apps; ; ; ; ; ; ; ; ;
in 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE 2015) (2015)
Using An Instrumentation based Approach to Detect Inter-Component Leaks in Android Apps; ; ;
Scientific Conference (2015, March)
Automating the Extraction of Model-based Software Product Lines from Model Variants; ; ; ;
in 30th IEEE/ACM International Conference on Automated Software Engineering (ASE 2015) (2015)
Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers; ; ; ; ; ; ; ;
in Sensors (2015), 15(12), 29861
2014
Empirical assessment of machine learning-based malware detectors for Android: Measuring the Gap between In-the-Lab and In-the-Wild Validation Scenarios; ; ; ; ;
in Empirical Software Engineering (2014)
Large-scale Machine Learning-based Malware Detection: Confronting the "10-fold Cross Validation" Scheme with Reality; ; ; ; ;
in Proceedings of the 4th ACM Conference on Data and Application Security and Privacy (2014, March)
A Forensic Analysis of Android Malware -- How is Malware Written and How It Could Be Detected?; ; ; ; ;
in Proceedings of the 2014 IEEE 38th Annual Computer Software and Applications Conference (2014, July)
Ahead of time static analysis for automatic generation of debugging interfaces to the Linux kernel; ; ;
in Automated Software Engineering (2014)
Sensing in the Urban Technological Deserts-A Position Paper for Smart Cities in Least Developed Countries;
in International Workshop on Web Intelligence and Smart Sensing (2014, September 01)
2013
Towards Securing Communications in Infrastructure-poor Areas; ;
in Proceedings of the 5th EAI International Conference on e-Infrastructure and e-Services for Developing Countries (2013)
Sustainable ICT4D in Africa: Where Do We Go From Here?; ; ; ; ;
in EAI International Conference on e-Infrastructure and e-Services for Developing Countries (2013)
Got Issues? Who Cares About It? A Large Scale Investigation of Issue Trackers from GitHub; ; ; ; ;
in Proceedings of the 24th International Symposium on Software Reliability Engineering (ISSRE 2013) (2013, November)
Implementing an Embedded Compiler using Program Transformation Rules; ; ; ;
in Software: Practice and Experience (2013)
An Empirical Study of Adoption of Software Testing in Open Source Projects; ; ;
in Proceedings of the 13th International Conference on Quality Software (QSIC 2013) (2013)
