Professional development of software engineers through participation in the Computing Curriculum for … Another possibility is to place the Distinguished Papers in strategic locations in the program -- for example, the first (or last) paper(s) in the program. ACM SIGSOFT Distinguished Service Award: Laura Dillon, Michigan State Univ., USA ACM SIGSOFT Outstanding Research Award: Daniel Jackson, MIT, USA (For foundational contributions to software modeling, the creation of the modeling language Alloy, and the development of a widely used tool supporting model verification.) An Empirical Case Study of Windows Vista, Automatically Finding Patches Using Genetic Programming, Invariant-Based Automatic Testing of AJAX User Interfaces, Efficient online monitoring of web-service SLAs, Socio-Technical Congruence: A Framework for Assessing the Impact of Technical and Work Dependencies on Software Development Productivity, Empirical Analysis of the Relation between Level of Detail in UML Models and Defect Density, Semantically Configurable Code Generation, Test-suite Augmentation for Evolving Software, Efficient Monitoring of Parametric Context-Free Patterns, Racer: Effective Race Detection Using AspectJ, Recommending Adaptive Changes for Framework Evolution, Precise Memory Leak Detection for Java Software Using Container Profiling, Debugging Reinvented: Asking and Answering Why and Why Not Questions about Program Behavior, The Effect of Program and Model Structure on MC/DC Test Adequacy Coverage, Predicting Accurate and Actionable Static Analysis Warnings: An Experimental Approach, Scalable Automatic Test Data Generation from Modeling Diagrams, An Automated Approach for Monitoring and Diagnosing Requirements, Automatic Extraction of Framework-Specific Models from Framework-Based Application Code, Globally Distributed Software Development Project Performance: An Empirical Analysis, Mining Specifications of Malicious Behavior, Automatic Chaudron, Empirical Analysis of the Relation between Level of Detail in UML Models and Defect Density, Adam Prout, Joanne M. Atlee, Nancy A. An Evidence-based Characterization, James Davis, Christy Coghlan, Francisco Servant and Dongyoon Lee: The Impact of Regular Expression Denial of Service (ReDoS) in Practice: an Empirical Study at the Ecosystem Scale, Shengjian Guo, Meng Wu and Chao Wang: Adversarial Symbolic Execution for Detecting Concurrency-related Cache Timing Leaks, Dileep Kini, Umang Mathur and Mahesh Viswanathan: Data Race Detection on Compressed Traces. No distinguished paper awards were given. Most Influential Paper from ICSE 2010. ICSE 2020: ACM Sigsoft distinguished paper award for “White-box Fairness Testing through Adversarial Sampling” authored by Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jin Song Dong and Dai Ting. ICSE 2020: Award for Distinguished reviewer. An Empirical Study of Effectiveness and Challenges, Lei Ma, Cyrille Artho, Cheng Zhang, Hiroyuki Sato, Johannes Gmeiner, and Rudolf Ramler: GRT: Program-Analysis-Guided Random Testing, Tuan Nguyen and Christoph Csallner: Reverse Engineering Mobile Application User Interfaces With REMAUI, Yi Zhang, Jianmei Guo, Eric Blais, and Krzysztof Czarnecki: Performance Prediction of Configurable Software Systems by Fourier Learning, Krishna Narasimhan and Christoph Reichenbach: Copy and Paste Redeemed, Yi Li, Julia Rubin, and Marsha Check: Semantic Slicing of Software Version Histories, Christoffer Quist Adamsen, Gianluca Mezzetti and Anders Møller: Systematic Execution of Android Test Suites in Adverse Conditions, Milos Gligoric, Lamyaa Eloussi and Darko Marinov: Practical Regression Test Selection with Dynamic File Dependencies, Earl T. Barr, Mark Harman, Yue Jia, Alexandru Marginean and Justyna Petke: Automated Software Transplantation, Janet Siegmund, Norbert Siegmund, and Sven Apel: Views on Internal and External Validity in Empirical Software Engineering, Michael Waterman, James Noble, and George Allan: How Much Up-Front? Hua Yan, Yulei Sui, Shiping Chen, and Jingling Xue; Identifying Design Problems in the Source Code: A Grounded Theory. Yu Gao, Wensheng Dou, Feng Qin, Chushu Gao, Dong Wang, Jun Wei, Ruirui Huang, Li Zhou and Yongming Wu: An Empirical Study on Crash Recovery Bugs in Large-Scale Distributed Systems, Vaibhav Saini, Farima Farmahini Farahani, Yadong Lu, Pierre Baldi and Cristina Lopes: Oreo: Detection of Clones in the Twilight Zone, Lei Ma, Felix Juefei-Xu, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Chunyang Chen, Ting Su, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang: DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems, Mikaela Cashman, Myra B. Cohen, Priya Ranjan, Robert W. Cottingham: Navigating the Maze: The Impact of Configurability in Bioinformatics Software, Yuju Shen, Yanyan Jiang, Chang Xu, Ping Yu, Xiaoxing Ma, Jian Lu: ReScue: Crafting Regular Expression DoS Attacks. Smart contracts have shown many … The program committee will take a weighted vote, respecting the conflict of interest rules in place for the conference, to identify the top candidates among the papers. UCSB’s Assistant Professor Yu Feng received the ACM Special Interest Group On Software Engineering (SIGSOFT) Distinguished Paper Award at the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE'20). Presented annually to the author(s) of a paper presented at a SIGSOFT sponsored or co-sponsored conference held at least 10 years prior to the award year. The paper on Automatic Generation of Pull Request Descriptions by the Software Engineering Team of the School of Computer Science won the ACM SIGSOFT Distinguished Paper Award. PhD candidate Hung Pham has received an ACM SIGSOFT Distinguished Paper Award at ASE 2020, the 35 th IEEE/ACM International Conference on Automated Software Engineering. ACM SIGSOFT Distinguished Paper Award, International Conference on Software Engineering (ICSE) - 2019 Blue Sky Idea Award, Computing Community Consortium - 2016 Most Influential Paper IBM HVC Award … I’m pleased to announce that the achievements of Notkin and his colleagues are being recognized this month with an ACM SIGSOFT Distinguished Paper Award. The ACM SIGSOFT Impact Paper Award is presented annually to the author(s) of a paper presented at a SIGSOFT sponsored or co-sponsored conference held at least 10 years prior to the award year. Network with like-minded professionals and enjoy unique opportunities to share technical expertise and first-hand knowledge of the latest trends. Paper authored by Rangeet Pan and Hridesh Rajan receives ACM SIGSOFT Distinguished Paper Award. A total of 445 papers were submitted to ASE 2019. ACM SIGSOFT Distinguished Paper Awards. Eliciting Design Requirements for Maintenance-Oriented IDEs: A Detailed Study of Corrective and Perfective Maintenance Tasks, A Classification System and Analysis for Aspect-Oriented Programs, Reasoning about Partial Goal Satisfaction for Requirements and Design Engineering. His awarded paper is titled "Summary-Based Symbolic Evaluation for Smart Contracts". ACM SIGSOFT Early Career Researcher Award. ACM SIGSOFT encourages SIGSOFT-sponsored conferences to designate a number of accepted papers for ACM SIGSOFT Distinguished Paper Awards for the conference. Zeng Xianzhi Award for Outstanding Faculty; 2015. In March 2020 ACM formed a Presidential Task Force (PTF) to help conference organizers transition their events to online. He also received numerous best paper awards, including the ACM SIGSOFT Distinguished Paper award (2018 and 2010), the FMCAD Best Paper award (2013) and the Best Paper of the Year award from ACM … Samir Hasan, Zachary King, Munawar Hafiz, Mohammed Sayagh, Bram Adams, and Abram Hindle. The International Symposium on the Foundations of Software Engineering (FSE) is coming to Seattle, WA, USA between November 13 and November 18, 2016. Lin Tan receives an ACM Distinguished Paper award at ASE 2020. A Principled Approach to GraphQL Query Cost Analysis, by A. Cha, E. Wittern, G. Baudart, J. Davis, L. Mandel, J. Laredo; Boosting Fuzzer Efficiency: An Information Theoretic Perspective, by M. Böhme, V. Manès, S. Cha Zhongxin Liu, Xin Xia, Meng Yan, Shanping Li: Automating Just-In-Time Comment Updating, Sungho Lee, Hyogun Lee, Sukyoung Ryu: Broadening Horizons of Multilingual Static Analysis: Semantic Summary Extraction from C Code for JNI Program Analysis, Michael C. Gerten, James I. Lathrop, Myra Cohen, Titus H. Klinge: ChemTest: An Automated Software Testing Framework for an Emerging Paradigm, Viet Hung Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan: Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance, Christos Tsigkanos, Nianyu Li, Zhi Jin, Zhenjiang Hu, Carlo Ghezzi: Scalable Multiple-View Analysis of Reactive Systems via Bidirectional Model Transformations, Yu Feng, Emina Torlak, Rastislav Bodik: Summary-Based Symbolic Evaluation for Smart Contracts, Likang Yin, Vladimir Filkov: Team Discussions and Dynamics During DevOps Tool Adoptions in OSS Projects, Souti Chattopadhyay, Nicholas Nelson, Audrey Au, Natalia Morales, Christopher Sanchez, Rahul Pandita, Anita Sarma: A Tale from the Trenches: Cognitive Biases and Software Development, Ru Zhang, Wencong Xiao, Hongyu Zhang, Yu Liu, Haoxiang Lin, Mao Yang: An Empirical Study on Program Failures of Deep Learning Jobs, Rafael-Michael Karampatsis, Hlib Babii, Romain Robbes, Charles Sutton, Andrea Janes: Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code, Junjie Wang, Ye Yang, Song Wang, Yuanzhe Hu, Dandan Wang, Qing Wang: Context-aware In-process Crowdworker Recommendation. 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