Table of Contents

• Automatic Repair of Java Code with Timing Side-Channel VulnerabilitiesRui Lima 0001, João F. Ferreira, Alexandra Mendes. 1-8 [doi]
• Statistical Analysis of Refactoring Bug Reports in Eclipse BugzillaEric Lacker, Jongwook Kim, Akash Kumar, Lipika Chandrashekar, Srilaxmi Paramaiahgari, Jasmine Howard. 9-13 [doi]
• The IntelliJ Platform: A Framework for Building Plugins and Mining Software DataZarina Kurbatova, Yaroslav Golubev, Vladimir Kovalenko, Timofey Bryksin. 14-17 [doi]
• Toward a Smell-aware Prediction Model for CI Build FailuresIslem Saidani, Ali Ouni 0001. 18-25 [doi]
• An Empirical Study on Code Smells Co-occurrences in Android ApplicationsOumayma Hamdi, Ali Ouni 0001, Eman Abdullah AlOmar, Mohamed Wiem Mkaouer. 26-33 [doi]
• Android Malware Detection: Looking beyond Dalvik BytecodeTiezhu Sun, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé. 34-39 [doi]
• So {U} R CERER: Developer-Driven Security Testing Framework for Android AppsMuhammad Sajidur Rahman, Blas Kojusner, Ryon Kennedy, Prerit Pathak, Lin Qi, Byron Williams. 40-46 [doi]
• Accelerating Symbolic Analysis for Android AppsMingyue Yang, David Lie, Nicolas Papernot. 47-52 [doi]
• A First Step Towards Detecting Human Values-violating Defects in Android APIsConghui Li, Humphrey O. Obie, Hourieh Khalajzadeh. 53-58 [doi]
• A First Look at Security Risks of Android TV AppsYonghui Liu, Li Li, Pingfan Kong, Xiaoyu Sun, Tegawendé F. Bissyandé. 59-64 [doi]
• Automated game testing using computer vision methodsCiprian Paduraru, Miruna Paduraru, Alin Stefanescu. 65-72 [doi]
• Rebuilding games at runtimeDiego Castro, Cláudia Werner. 73-77 [doi]
• Towards a Framework to Assist Iterative and Adaptive Design in Gameful SystemsAntonio Bucchiarone, Antonio Cicchetti, Enrica Loria, Annapaola Marconi. 78-84 [doi]
• Metrics for Assessing Gamers' Satisfaction: Exploring the Graphics FactorStylianos Gkikas, Christina Volioti, Nikolaos Nikolaidis 0003, Apostolos Ampatzoglou, Alexander Chatzigeorgiou, Ignatios S. Deligiannis. 85-89 [doi]
• JavaBERT: Training a Transformer-Based Model for the Java Programming LanguageNelson Tavares de Sousa, Wilhelm Hasselbring. 90-95 [doi]
• Task Distribution and Human Resource Management Using Reinforcement LearningCiprian Paduraru, Miruna Paduraru, Catalina Camelia Patilea. 96-101 [doi]
• Classification of UML Diagrams to Support Software Engineering EducationJosé Fernando Tavares, Yandre M. G. Costa, Thelma Elita Colanzi. 102-107 [doi]
• Fairer Software Made Easier (using "Keys")Tim Menzies, Kewen Peng, Andre Lustosa. 108-113 [doi]
• Splitting, Renaming, Removing: A Study of Common Cleaning Activities in Jupyter NotebooksHelen Dong, Shurui Zhou, Jin L. C. Guo, Christian Kästner. 114-119 [doi]
• Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer GenerationYue Cao, Fatemeh H. Fard. 120-125 [doi]
• Readability and Understandability of Snippets Recommended by General-purpose Web Search Engines: A Comparative StudyCarlos Eduardo de Carvalho Dantas, Marcelo de Almeida Maia. 126-130 [doi]
• Recommending Code Understandability Improvements Based on Code ReviewsDelano Oliveira. 131-132 [doi]
• An Investigation of Compound Variable Names Toward Automated Detection of Confusing Variable PairsHirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara. 133-137 [doi]
• An Eye Tracking Perspective on How Developers Rate Source Code Readability RulesCole S. Peterson, Kang-Il Park, Isaac Baysinger, Bonita Sharif. 138-139 [doi]
• Decision-Making Biases and Cyber AttackersChelsea K. Johnson, Robert S. Gutzwiller, Joseph Gervais, Kimberly J. Ferguson-Walter. 140-144 [doi]
• ACSIMA: A Cyber Security Index for Mobile Health AppsHamza Sellak, Mohan Baruwal Chhetri, Marthie Grobler, Kristen Moore. 145-152 [doi]
• Oppositional Human Factors in Cybersecurity: A Preliminary Analysis of Affective StatesKimberly J. Ferguson-Walter, Robert S. Gutzwiller, Dakota D. Scott, Craig J. Johnson. 153-158 [doi]
• Virtual Reality Enabled Human-Centric Requirements EngineeringOwen Wang, Ben Cheng, Thuong N. Hoang, Chetan Arora 0002, Xiao Liu. 159-164 [doi]
• A Methodology for Human-Centred IoT Collectives Based on Socio-Ethical PoliciesAmna Batool, Seng W. Loke, Niroshinie Fernando, Jonathan Kua. 165-170 [doi]
• "I need to know I'm safe and protected and will check": Users Want Cues to Signal Data Custodians' TrustworthinessOksana Kulyk, Karen Renaud. 171-178 [doi]
• Crypto Experts Advise What They AdoptMohammadreza Hazhirpasand, Mohammad Ghafari. 179-184 [doi]
• Worrisome Patterns in Developers: A Survey in CryptographyMohammadreza Hazhirpasand, Mohammad Ghafari. 185-190 [doi]
• Identifying non-natural language artifacts in bug reportsThomas Hirsch, Birgit Hofer. 191-197 [doi]
• Extracting Software Change Requests from Mobile App ReviewsMuhammad Nadeem, Khurram Shahzad, Nadeem Majeed. 198-203 [doi]
• Sentiment Analysis of User Feedback on Business ProcessesAmina Mustansir, Khurram Shahzad, Muhammad Kamran Malik. 204-210 [doi]
• AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements ElicitationNouf Alturaief, Hamoud Aljamaan, Malak Baslyman. 211-218 [doi]
• Generating Context-Aware API Calls from Natural Language Description Using Neural Embeddings and Machine TranslationHung Phan, Arushi Sharma, Ali Jannesari 0001. 219-226 [doi]
• Merging Datasets for Emotion AnalysisAriadna de Arriba, Marc Oriol, Xavier Franch. 227-231 [doi]
• Enhancing Lexical Representation of Test Coverage for Failure ClusteringJuyeon Yoon, Shin Yoo. 232-238 [doi]
• Learning Sentiment Analysis for Accessibility User ReviewsWajdi Aljedaani, Furqan Rustam, Stephanie Ludi, Ali Ouni 0001, Mohamed Wiem Mkaouer. 239-246 [doi]
• GPPT: A Power Prediction Tool for CUDA ApplicationsGargi Alavani, Jineet Desai, Santonu Sarkar. 247-250 [doi]
• PowDroid: Energy Profiling of Android ApplicationsFares Bouaffar, Olivier Le Goaer, Adel Noureddine. 251-254 [doi]
• On the Runtime and Energy Performance of WebAssembly: Is WebAssembly superior to JavaScript yet?João de Macedo, Rui Abreu, Rui Pereira, João Saraiva. 255-262 [doi]
• A Preliminary Study of the Impact of Code Coverage on Software Energy ConsumptionAdel Noureddine, Matias Martinez, Houssam Kanso. 263-264 [doi]
• Sustainable AI in the Cloud: Exploring Machine Learning Energy Use in the CloudPaul Walsh, Jhilam Bera, Vibhu Saujanya Sharma, Vikrant Kaulgud, Raghotham M. Rao, Orlaith Ross. 265-266 [doi]
• Sustainable software engineering - have we neglected the software engineer's perspective?Binish Tanveer. 267-270 [doi]