Tegawendé F. Bissyandé

Orcid: 0000-0001-7270-9869

Affiliations:
  • University of Luxembourg
  • University of Bordeaux, Talence, France


According to our database1, Tegawendé F. Bissyandé authored at least 226 papers between 2010 and 2024.

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Bibliography

2024
Demystifying API misuses in deep learning applications.
Empir. Softw. Eng., April, 2024

Test Input Prioritization for Machine Learning Classifiers.
IEEE Trans. Software Eng., March, 2024

PyScribe-Learning to describe python code.
Softw. Pract. Exp., March, 2024

GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks.
ACM Trans. Softw. Eng. Methodol., January, 2024

Big Code Search: A Bibliography.
ACM Comput. Surv., January, 2024

Multi-Objective Fine-Tuning for Enhanced Program Repair with LLMs.
CoRR, 2024

Revisiting Code Similarity Evaluation with Abstract Syntax Tree Edit Distance.
CoRR, 2024

Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning.
CoRR, 2024

Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More.
CoRR, 2024

CodeAgent: Collaborative Agents for Software Engineering.
CoRR, 2024

Practical Program Repair via Preference-based Ensemble Strategy.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Learning to Represent Patches.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Enhancing Text-to-SQL Translation for Financial System Design.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

Automatic Generation of Test Cases based on Bug Reports: a Feasibility Study with Large Language Models.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Extracting Relevant Test Inputs from Bug Reports for Automatic Test Case Generation.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Revisiting Android App Categorization.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Pre-implementation Method Name Prediction for Object-oriented Programming.
ACM Trans. Softw. Eng. Methodol., November, 2023

Tips: towards automating patch suggestion for vulnerable smart contracts.
Autom. Softw. Eng., November, 2023

DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode.
IEEE Trans. Software Eng., October, 2023

Learning the Relation Between Code Features and Code Transforms With Structured Prediction.
IEEE Trans. Software Eng., July, 2023

The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches.
ACM Trans. Softw. Eng. Methodol., July, 2023

Reliable Fix Patterns Inferred from Static Checkers for Automated Program Repair.
ACM Trans. Softw. Eng. Methodol., July, 2023

Demystifying Hidden Sensitive Operations in Android Apps.
ACM Trans. Softw. Eng. Methodol., April, 2023

iBiR: Bug-report-driven Fault Injection.
ACM Trans. Softw. Eng. Methodol., April, 2023

A model-based framework for inter-app Vulnerability analysis of Android applications.
Softw. Pract. Exp., April, 2023

Why Is Static Application Security Testing Hard to Learn?
IEEE Secur. Priv., 2023

Assessing the opportunity of combining state-of-the-art Android malware detectors.
Empir. Softw. Eng., 2023

Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports.
CoRR, 2023

Software Engineering for OpenHarmony: A Research Roadmap.
CoRR, 2023

Can LLMs Demystify Bug Reports?
CoRR, 2023

Hyperbolic Code Retrieval: A Novel Approach for Efficient Code Search Using Hyperbolic Space Embeddings.
CoRR, 2023

Multilevel Semantic Embedding of Software Patches: A Fine-to-Coarse Grained Approach Towards Security Patch Detection.
CoRR, 2023

How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective.
CoRR, 2023

LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning.
CoRR, 2023

A Dataset of Android Libraries.
CoRR, 2023

Is ChatGPT the Ultimate Programming Assistant - How far is it?
CoRR, 2023

Letz Translate: Low-Resource Machine Translation for Luxembourgish.
CoRR, 2023

App Review Driven Collaborative Bug Finding.
CoRR, 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.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Natural Language to Code: How Far Are We?
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Evaluating the Impact of Text De-Identification on Downstream NLP Tasks.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

Sensitive and Personal Data: What Exactly Are You Talking About?
Proceedings of the 10th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2023

Evaluating Data Augmentation Techniques for the Training of Luxembourgish Language Models.
Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), 2023

Comparing Pre-Training Schemes for Luxembourgish BERT Models.
Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), 2023

Message from the Chairs: ASE 2023.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

CodeGrid: A Grid Representation of Code.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Guided Retraining to Enhance the Detection of Difficult Android Malware.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Bottom-Up Technologies for Reuse: A Framework to Support Extractive Software Product Line Adoption Activities.
Proceedings of the Handbook of Re-Engineering Software Intensive Systems into Software Product Lines, 2023

2022
Predicting Patch Correctness Based on the Similarity of Failing Test Cases.
ACM Trans. Softw. Eng. Methodol., 2022

What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning.
ACM Trans. Softw. Eng. Methodol., 2022

A Deep Dive Inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores.
ACM Trans. Priv. Secur., 2022

DigBug - Pre/post-processing operator selection for accurate bug localization.
J. Syst. Softw., 2022

Crex: Predicting patch correctness in automated repair of C programs through transfer learning of execution semantics.
Inf. Softw. Technol., 2022

SSPCatcher: Learning to catch security patches.
Empir. Softw. Eng., 2022

A Pre-Trained BERT Model for Android Applications.
CoRR, 2022

AI-driven Mobile Apps: an Explorative Study.
CoRR, 2022

A Comparative Study of Smartphone and Smart TV Apps.
CoRR, 2022

Demystifying Hidden Sensitive Operations in Android apps.
CoRR, 2022

A two-steps approach to improve the performance of Android malware detectors.
CoRR, 2022

The Devil is in the Details: Unwrapping the Cryptojacking Malware Ecosystem on Android.
Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 2022

TriggerZoo: A Dataset of Android Applications Automatically Infected with Logic Bombs.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Is this Change the Answer to that Problem?: Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Peeler: Learning to Effectively Predict Flakiness without Running Tests.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Difuzer: Uncovering Suspicious Hidden Sensitive Operations in Android Apps.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

On the Suitability of SHAP Explanations for Refining Classifications.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Towards Refined Classifications Driven by SHAP Explanations.
Proceedings of the Machine Learning and Knowledge Extraction, 2022

Virtual Fences: A Systematic Literature Review.
Proceedings of the Towards new e-Infrastructure and e-Services for Developing Countries, 2022

2021
Mining Fix Patterns for FindBugs Violations.
IEEE Trans. Software Eng., 2021

Rebooting Research on Detecting Repackaged Android Apps: Literature Review and Benchmark.
IEEE Trans. Software Eng., 2021

Understanding the Evolution of Android App Vulnerabilities.
IEEE Trans. Reliab., 2021

On the Impact of Sample Duplication in Machine-Learning-Based Android Malware Detection.
ACM Trans. Softw. Eng. Methodol., 2021

Taming Reflection: An Essential Step Toward Whole-program Analysis of Android Apps.
ACM Trans. Softw. Eng. Methodol., 2021

A critical review on the evaluation of automated program repair systems.
J. Syst. Softw., 2021

Where were the repair ingredients for Defects4j bugs?
Empir. Softw. Eng., 2021

A first look at Android applications in Google Play related to COVID-19.
Empir. Softw. Eng., 2021

Revisiting the VCCFinder approach for the identification of vulnerability-contributing commits.
Empir. Softw. Eng., 2021

Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection.
Empir. Softw. Eng., 2021

Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We?
CoRR, 2021

Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements.
CoRR, 2021

DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode.
CoRR, 2021

Checking Patch Behaviour against Test Specification.
CoRR, 2021

ANCHOR: locating android framework-specific crashing faults.
Autom. Softw. Eng., 2021

A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain.
Proceedings of the Companion of The Web Conference 2021, 2021

On the Impact of Flaky Tests in Automated Program Repair.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Estimating the Attack Surface from Residual Vulnerabilities in Open Source Software Supply Chain.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling.
Proceedings of the Natural Language Processing and Information Systems, 2021

Android Malware Detection: Looking beyond Dalvik Bytecode.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

A First Look at Security Risks of Android TV Apps.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Automated Comment Update: How Far are We?
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

SmartGift: Learning to Generate Practical Inputs for Testing Smart Contracts.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

Revisiting Test Cases to Boost Generate-and-Validate Program Repair.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

A Partial Replication of "RAICC: Revealing Atypical Inter-Component Communication in Android Apps".
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

RAICC: Revealing Atypical Inter-Component Communication in Android Apps.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
CDA: Characterising Deprecated Android APIs.
Empir. Softw. Eng., 2020

FixMiner: Mining relevant fix patterns for automated program repair.
Empir. Softw. Eng., 2020

Selecting fault revealing mutants.
Empir. Softw. Eng., 2020

FlexiRepair: Transparent Program Repair with Generic Patches.
CoRR, 2020

What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning.
CoRR, 2020

MadDroid: Characterising and Detecting Devious Ad Content for Android Apps.
CoRR, 2020

Learning to Catch Security Patches.
CoRR, 2020

MadDroid: Characterizing and Detecting Devious Ad Contents for Android Apps.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Borrowing your enemy's arrows: the case of code reuse in Android via direct inter-app code invocation.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Challenges Towards Production-Ready Explainable Machine Learning.
Proceedings of the 2020 USENIX Conference on Operational Machine Learning, 2020

Data-driven Simulation and Optimization for Covid-19 Exit Strategies.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

KnowledgeZooClient: constructing knowledge graph for Android.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2020

On the efficiency of test suite based program repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Automated Testing of Android Apps: A Systematic Literature Review.
IEEE Trans. Reliab., 2019

Watch out for this commit! A study of influential software changes.
J. Softw. Evol. Process., 2019

Revisiting the impact of common libraries for android-related investigations.
J. Syst. Softw., 2019

On Identifying and Explaining Similarities in Android Apps.
J. Comput. Sci. Technol., 2019

Multipath Key Exchange Scheme Based on the Diffie-Hellman Protocol and the Shamir Threshold.
Int. J. Netw. Secur., 2019

Learning the Relation between Code Features and Code Transforms with Structured Prediction.
CoRR, 2019

Interviewing the Most Successful Bot on GitHub: Dr Travis CI on 35+ Million of its Jobs.
CoRR, 2019

D&C: A Divide-and-Conquer Approach to IR-based Bug Localization.
CoRR, 2019

AVATAR: Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

Should You Consider Adware as Malware in Your Study?
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

iFixR: bug report driven program repair.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Negative results on mining crypto-API usage rules in Android apps.
Proceedings of the 16th International Conference on Mining Software Repositories, 2019

Assessing the Generalizability of Code2vec Token Embeddings.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

TBar: revisiting template-based automated program repair.
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

Mining Android crash fixes in the absence of issue- and change-tracking systems.
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems.
Proceedings of the 12th IEEE Conference on Software Testing, Validation and Verification, 2019

Handling Duplicates in Dockerfiles Families: Learning from Experts.
Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

An Analysis of 35+ Million Jobs of Travis CI.
Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

Learning to spot and refactor inconsistent method names.
Proceedings of the 41st International Conference on Software Engineering, 2019

On the Evolution of Mobile App Complexity.
Proceedings of the 24th International Conference on Engineering of Complex Computer Systems, 2019

Analysis of the Impact of Permissions on the Vulnerability of Mobile Applications.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2019

2018
Feature location benchmark for extractive software product line adoption research using realistic and synthetic Eclipse variants.
Inf. Softw. Technol., 2018

Augmenting and structuring user queries to support efficient free-form code search.
Empir. Softw. Eng., 2018

FraudDroid: automated ad fraud detection for Android apps.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Characterising deprecated Android APIs.
Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Bench4BL: reproducibility study on the performance of IR-based bug localization.
Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2018

CiD: automating the detection of API-related compatibility issues in Android apps.
Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2018

MoonlightBox: Mining Android API Histories for Uncovering Release-Time Inconsistencies.
Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering, 2018

Towards Estimating and Predicting User Perception on Software Product Variants.
Proceedings of the New Opportunities for Software Reuse - 17th International Conference, 2018

A Closer Look at Real-World Patches.
Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

FaCoY: a code-to-code search engine.
Proceedings of the 40th International Conference on Software Engineering, 2018

On vulnerability evolution in Android apps.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Predicting the fault revelation utility of mutants.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Extracting Statistical Graph Features for Accurate and Efficient Time Series Classification.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

LSRepair: Live Search of Fix Ingredients for Automated Program Repair.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

Secure, Transparent and Uniform Mobile Money for Internet-Underserved Areas Using Sporadically-Synchronized Blockchain.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2018

2017
Variability Management and Assessment for User Interface Design.
Proceedings of the Human Centered Software Product Lines, 2017

Understanding Android App Piggybacking: A Systematic Study of Malicious Code Grafting.
IEEE Trans. Inf. Forensics Secur., 2017

On Locating Malicious Code in Piggybacked Android Apps.
J. Comput. Sci. Technol., 2017

Characterizing malicious Android apps by mining topic-specific data flow signatures.
Inf. Softw. Technol., 2017

Static analysis of android apps: A systematic literature review.
Inf. Softw. Technol., 2017

AndroZoo++: Collecting Millions of Android Apps and Their Metadata for the Research Community.
CoRR, 2017

SimiDroid: Identifying and Explaining Similarities in Android Apps.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Sensing by proxy in buildings with agglomerative clustering of indoor temperature movements.
Proceedings of the Symposium on Applied Computing, 2017

Euphony: harmonious unification of cacophonous anti-virus vendor labels for Android malware.
Proceedings of the 14th International Conference on Mining Software Repositories, 2017

Impact of tool support in patch construction.
Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis, Santa Barbara, CA, USA, July 10, 2017

Bottom-up technologies for reuse: automated extractive adoption of software product lines.
Proceedings of the 39th International Conference on Software Engineering, 2017

Automatically Locating Malicious Packages in Piggybacked Android Apps.
Proceedings of the 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2017

Understanding Android app piggybacking.
Proceedings of the 39th International Conference on Software Engineering, 2017

The multi-generation repackaging hypothesis.
Proceedings of the 39th International Conference on Software Engineering, 2017

Ego-Centered View to Overcome the Internet Measurement Challenges in West Africa.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2017

Blockchain Consensus Protocols - Towards a Review of Practical Constraints for Implementation in Developing Countries.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2017

2016
Time Series Classification with Discrete Wavelet Transformed Data.
Int. J. Softw. Eng. Knowl. Eng., 2016

Empirical assessment of machine learning-based malware detectors for Android - Measuring the gap between in-the-lab and in-the-wild validation scenarios.
Empir. Softw. Eng., 2016

Ahead of time static analysis for automatic generation of debugging interfaces to the Linux kernel.
Autom. Softw. Eng., 2016

Parameter Values of Android APIs: A Preliminary Study on 100, 000 Apps.
Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

An Investigation into the Use of Common Libraries in Android Apps.
Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

Name suggestions during feature identification: the variclouds approach.
Proceedings of the 20th International Systems and Software Product Line Conference, 2016

Mining families of android applications for extractive SPL adoption.
Proceedings of the 20th International Systems and Software Product Line Conference, 2016

Time Series Classification with Discrete Wavelet Transformed Data: Insights from an Empirical Study.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Towards a generic framework for automating extensive analysis of Android applications.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Profiling Android Vulnerabilities.
Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

AndroZoo: collecting millions of Android apps for the research community.
Proceedings of the 13th International Conference on Mining Software Repositories, 2016

DSCo: A Language Modeling Approach for Time Series Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Reflection-aware static analysis of Android apps.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

DroidRA: taming reflection to support whole-program analysis of Android apps.
Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

DSCo-NG: A Practical Language Modeling Approach for Time Series Classification.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

Feature Location Benchmark for Software Families Using Eclipse Community Releases.
Proceedings of the Software Reuse: Bridging with Social-Awareness, 2016

Accessing Inaccessible Android APIs: An Empirical Study.
Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

Data model evolution using object-NoSQL mappers: folklore or state-of-the-art?
Proceedings of the 2nd International Workshop on BIG Data Software Engineering, 2016

Profiling household appliance electricity usage with N-gram language modeling.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

UAV degradation identification for pilot notification using machine learning techniques.
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016

On the Lack of Consensus in Anti-Virus Decisions: Metrics and Insights on Building Ground Truths of Android Malware.
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2016

2015
Implementing an embedded compiler using program transformation rules.
Softw. Pract. Exp., 2015

End-to-End Key Exchange through Disjoint Paths in P2P Networks.
EAI Endorsed Trans. Security Safety, 2015

Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers.
Sensors, 2015

Harvesting Fix Hints in the History of Bugs.
CoRR, 2015

Bottom-up adoption of software product lines: a generic and extensible approach.
Proceedings of the 19th International Conference on Software Product Line, 2015

ApkCombiner: Combining Multiple Android Apps to Support Inter-App Analysis.
Proceedings of the ICT Systems Security and Privacy Protection, 2015

Potential Component Leaks in Android Apps: An Investigation into a New Feature Set for Malware Detection.
Proceedings of the 2015 IEEE International Conference on Software Quality, 2015

Automating the Extraction of Model-Based Software Product Lines from Model Variants (T).
Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering, 2015

IccTA: Detecting Inter-Component Privacy Leaks in Android Apps.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Estimating and Predicting Average Likability on Computer-Generated Artwork Variants.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Are Your Training Datasets Yet Relevant? - An Investigation into the Importance of Timeline in Machine Learning-Based Malware Detection.
Proceedings of the Engineering Secure Software and Systems - 7th International Symposium, 2015

Impact of Small-World Effect on the ip-level Routing Dynamics.
Proceedings of the e-Infrastructure and e-Services - 7th International Conference, 2015

Vulnerabilities of Government Websites in a Developing Country - the Case of Burkina Faso.
Proceedings of the e-Infrastructure and e-Services - 7th International Conference, 2015

2014
Feature Relations Graphs: A Visualisation Paradigm for Feature Constraints in Software Product Lines.
Proceedings of the Second IEEE Working Conference on Software Visualization, 2014

Matching Information Requests with Node Profiles in Opportunistic Mobile Networks.
Proceedings of the 12th International Conference on Advances in Mobile Computing and Multimedia, 2014

Sensing in the Urban Technological Deserts: A Position Paper for Smart Cities in Least Developed Countries.
Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing, 2014

A Forensic Analysis of Android Malware - How is Malware Written and How it Could Be Detected?
Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014

Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality.
Proceedings of the Fourth ACM Conference on Data and Application Security and Privacy, 2014

Bootstrapping Software Engineering Training in Developing Countries - Return on Experience at the University of Ouagadougou.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2014

2013
Contributions for Improving Debugging of Kernel-level Services in a Monolithic Operating System. (Contributions à l'Amélioration du Débogage des Services Noyau dans un Système d'Exploitation Monolithique).
PhD thesis, 2013

Improving the performance of message parsers for embedded systems.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

An Empirical Study of Adoption of Software Testing in Open Source Projects.
Proceedings of the 2013 13th International Conference on Quality Software, 2013

Got issues? Who cares about it? A large scale investigation of issue trackers from GitHub.
Proceedings of the IEEE 24th International Symposium on Software Reliability Engineering, 2013

Orion: A Software Project Search Engine with Integrated Diverse Software Artifacts.
Proceedings of the 2013 18th International Conference on Engineering of Complex Computer Systems, 2013

Network Structure of Social Coding in GitHub.
Proceedings of the 17th European Conference on Software Maintenance and Reengineering, 2013

Adoption of Software Testing in Open Source Projects-A Preliminary Study on 50, 000 Projects.
Proceedings of the 17th European Conference on Software Maintenance and Reengineering, 2013

Empirical Evaluation of Bug Linking.
Proceedings of the 17th European Conference on Software Maintenance and Reengineering, 2013

Popularity, Interoperability, and Impact of Programming Languages in 100, 000 Open Source Projects.
Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

Y Nut, a Phonetic-Based Learning System for Spoken Languages.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2013

Improving Rural Emergency Services with Cognitive Radio Networks in Sub-Saharan Africa.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2013

The NOAH Project: Giving a Chance to Threatened Species in Africa with UAVs.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2013

Sustainable ICT4D in Africa: Where Do We Go from Here?
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2013

Towards Securing Communications in Infrastructure-Poor Areas.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2013

2012
Zebra: Building Efficient Network Message Parsers for Embedded Systems.
IEEE Embed. Syst. Lett., 2012

Diagnosys: automatic generation of a debugging interface to the Linux kernel.
Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, 2012

Leveraging the Cultural Model for Opportunistic Networking in Sub-Saharan Africa.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2012

Open Source in Africa: An Opportunity Wasted? - Why and How FLOSS Should Make Sense for Africa.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2012

2011
Typhoon: a middleware for epidemic propagation of software updates.
Proceedings of the Third International Workshop on Middleware for Pervasive Mobile and Embedded Computing (M-MPAC 2011), Lisbon, Portugal, December 12, 2011

2010
Bridging the Gap between Legacy Services and Web Services.
Proceedings of the Middleware 2010 - ACM/IFIP/USENIX 11th International Middleware Conference, Bangalore, India, November 29, 2010

UbiPAN: A Bluetooth Extended Personal Area Network.
Proceedings of the CISIS 2010, 2010


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