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35th ieee/acm international conference on automated software engineering workshops, asew 2020

ISBN: (纸本)9781450381284

the proceedings contain 28 papers. the topics discussed include: emotion detection in Roman Urdu text using machine learning;mapping textual feedback to process model elements;Zimbabwean non-uptake of protective point-of-sale behaviors: is this a risk homeostasis response?;characterizing co-located insecure coding patterns in infrastructure as code scripts;autoeprs-20: extracting business process redesign suggestions from natural language text;a framework for the automatic execution of measurement-based experiments on android devices;designing a serious game: teaching developers to embed privacy into software systems;KnowledgeZooClient: constructing knowledge graph for android;and exploring the requirements of pandemic awareness systems: a case study of COVID-19 using social media data.

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Proceedings - 2020 35th ieee/acm international conference on automated software engineering, ASE 2020

Proceedings - 2020 35th IEEE/ACM International Conference on...

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35th ieee/acm international conference on automated software engineering, ASE 2020

ISBN: (纸本)9781450367684

the proceedings contain 158 papers. the topics discussed include: Styx: a data-oriented mutation framework to improve the robustness of DNN;team discussions and dynamics during DevOps tool adoptions in OSS projects;FILO: FIx-LOcus localization for backward incompatibilities caused by android framework upgrades;SAT-based arithmetic support for alloy;automated implementation of windows-related security-configuration guides;SmartBugs: a framework to analyze solidity smart contracts;scaling client-specific equivalence checking via impact boundary search;edge4real: a cost-effective edge computing based human behavior recognition system for human-centric software engineering;when deep learning meets smart contracts;and BiLO-CPDP: bi-level programming for automated model discovery in cross-project defect prediction.

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Automatic Program Repair

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ieee software 2021年第4期38卷 122-124页

作者： Carver, Jeffrey Colomo-Palacios, Ricardo Larrucea, Xabier Staron, Miroslaw Univ Alabamas Dept Comp Sci Tuscaloosa AL 35487 USA Ostfold Univ Dept Comp Sci N-1757 Halden Norway Basque Res & Technol Alliance TECNALIA E-48160 Derio Bizkaia Spain Chalmers Univ Technol Software Engn Div SE-41296 Gothenburg Sweden Univ Gothenburg SE-41296 Gothenburg Sweden

Following along with the theme of this issue of ieee software, this column reports on papers about automatic program repair (APR) from the 35th ieee/acm international conference on automated software engineering (ASE20), the 35th ieee/acm international conference on automated software engineering workshops (asew20), and the 13th ieee international conference on software Testing, Validation and Verification (ICST20). Feedback or suggestions are welcome. In addition, if you try or adopt any of the practices included in the column, please send us and the authors a note about your experiences.

关键词： Repair

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A Vision to Mitigate Bioinformatics software Development Challenges 35

A Vision to Mitigate Bioinformatics Software Development Cha...

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35th ieee/acm international conference on automated software engineering (ASE)

作者： Rahman, Akond Bhuiyan, Farzana Ahamed Tennessee Technol Univ Cookeville TN 38505 USA

ISBN: (纸本)9781450381284

Developers construct bioinformatics software to automate crucial analysis and research related to biological science. However, challenges while developing bioinformatics software can prohibit advancement in biological science research. through a human-centric systematic analysis, we can identify challenges related to bioinformatics software development and envision future research directions. From our qualitative analysis with 221 Stack Overflow questions, we identify six categories of challenges: file operations, searching genetic entities, defect resolution, configuration management, sequence alignment, and translation of genetic information. To mitigate the identified challenges we envision three research directions that require synergies between bioinformatics and automated software engineering: (i) automated configuration recommendation using optimization algorithms, (ii) automated and comprehensive defect categorization, and (iii) intelligent task assistance with active and reinforcement learning.

关键词： bioinformatics challenge empirical study stack overflow

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AutoEPRS-20: Extracting Business Process Redesign Suggestions from Natural Language Text 35

AutoEPRS-20: Extracting Business Process Redesign Suggestion...

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35th ieee/acm international conference on automated software engineering (ASE)

作者： Mustansir, Amina Shahzad, Khurram Malik, Muhammad Kamran Univ Punjab PUCIT Lahore Pakistan

ISBN: (纸本)9781450381284

In this paper, we have defined an NLP task, for the automatic extraction of business process redesign suggestions from natural language text. In particular, we have employed a systematic protocol to define the task, which is composed of three elements and three sub-tasks. the elements are: a) a real-world process model, b) actual feedback in natural language text, and c) three-level classification of the feedback. the task is composed of two binary and one multi-class classification sub-tasks. the evaluation of the AutoEPRS-20 task is performed using six traditional supervised learning techniques. the results show that the third sub-task is more challenging that the two binary sub-tasks.

关键词： automated software engineering business process management business process redesign Natural Language Processing

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Towards Better Understanding of Agile Teams through Behavior Change Models 35

Towards Better Understanding of Agile Teams through Behavior...

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35th ieee/acm international conference on automated software engineering (ASE)

作者： Madampe, Kashumi Hoda, Rashina Grundy, John Monash Univ Melbourne Vic Australia

ISBN: (纸本)9781450381284

Agile software development welcomes changes throughout software development - but this implies that agile teams face several dilemmas. When to respond to a change;how to respond;how to manage the change. Our current understanding and support for agile teams during such change management is very limited. Psychological behavioral change models can be used to better understand the behavior of agile teams. Combining our understanding of agile teams and practices with a review of behavior change models, we propose several avenues for studying behavior and behavioral changes in agile teams. Our proposed interdisciplinary approach provides a much needed avenue to acknowledge and address the psychological and behavioral aspects of the humans central to the software engineering process, ultimately assisting with their wellbeing and productivity.

关键词： agile software development teams human behavior behavior change models

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E-Debitum: Managing software Energy Debt 35

E-Debitum: Managing Software Energy Debt

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35th ieee/acm international conference on automated software engineering (ASE)

作者： Maia, Daniel Couto, Marco Saraiva, Joao Pereira, Rui HASLab INESC TEC Porto Portugal Univ Minho Braga Portugal

ISBN: (纸本)9781450381284

this paper extends previous work on the concept of a new software energy metric: Energy Debt. this metric is a reflection on the implied cost, in terms of energy consumption over time, of choosing an energy flawed software implementation over a more robust and efficient, yet time consuming, approach. this paper presents the implementation a SonarQube tool called E-Debitum which calculates the energy debt of Android applications throughout their versions. this plugin uses a robust, well defined, and extendable smell catalog based on current green software literature, with each smell defining the potential energy savings. To conclude, an experimental validation of E-Debitum was executed on 3 popular Android applications with various releases, showing how their energy debt fluctuated throughout releases.

关键词： Green software Energy Debt Code Analysis

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Designing a Serious Game: Teaching Developers to Embed Privacy into software Systems 35

Designing a Serious Game: Teaching Developers to Embed Priva...

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35th ieee/acm international conference on automated software engineering (ASE)

作者： Arachchilage, Nalin Asanka Gamagedara Hameed, Mumtaz Abdul La Trobe Univ Bundoora Vic Australia Technovat Consulting & Amp Training PVT Male Maldives

ISBN: (纸本)9781450381284

software applications continue to challenge user privacy when users interact with them. Privacy practices (e.g. Data Minimisation (DM), Privacy by Design (PbD) or General Data Protection Regulation (GDPR)) and related "privacy engineering" methodologies exist and provide clear instructions for developers to implement privacy into software systems they develop that preserve user privacy. However, those practices and methodologies are not yet a common practice in the software development community. there has been no previous research focused on developing "educational" interventions such as serious games to enhance software developers' coding behaviour. therefore, this research proposes a game design framework as an educational tool for software developers to improve (secure) coding behaviour, so they can develop privacy-preserving software applications that people can use. the elements of the proposed framework were incorporated into a gaming application scenario that enhances the software developers' coding behaviour through their motivation. the proposed work not only enables the development of privacy-preserving software systems but also helping the software development community to put privacy guidelines and engineering methodologies into practice.

关键词： Secure Coding DevSecOps Privacy-preserving Systems Usable Security and Privacy

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Collective Intelligence for Smarter Neural Program Synthesis 35

Collective Intelligence for Smarter Neural Program Synthesis

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35th ieee/acm international conference on automated software engineering (ASE)

作者： Wang, Daiyan Dong, Wei Zhang, Yating Natl Univ Def Technol Coll Comp Sci Changsha Peoples R China Natl Univ Def Technol Coll Comp Sci Key Lab Software Engn Complex Syst Changsha Peoples R China

ISBN: (纸本)9781450381284

We study the problem of automatically generating source code from different forms of user intents. Existing methods treating this problem as a language generating task of the neural network, known as Neural Program Synthesis (NPS). Most of these methods struggle with achieving high generating accuracy, one reason for that is the incompleteness and inaccuracy of user intents for a specific programming task. Inspired by the Swarm Intelligence (SI) and Collective Intelligence (CI) techniques, we proposed an automatic task-specific user intent merging framework combining both the bio-inspired algorithm in SI and CI merged from multiple developers. Empirically, we show that our approach is able to provide more accurate and adequate input for NPS, and our experiment on CI indicates that knowledge merging among isolated software developers in our approach has a significant influence on NPS.

关键词： Neural Program Synthesis Swarm Intelligence Collective Intelligence

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Energy Efficiency in Robotics software: A Systematic Literature Review 35

Energy Efficiency in Robotics Software: A Systematic Literat...

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35th ieee/acm international conference on automated software engineering (ASE)

作者： Swanborn, Stan Malavolta, Ivano Vrije Univ Amsterdam Amsterdam Netherlands

ISBN: (纸本)9781450381284

Nowadays, robots are widely used in many areas of our lifes, such as autonomous storage, self-driving vehicles, drones, industrial automation, etc. Energy is a critical factor for robotic systems, especially for mobile robots where energy is a finite resource (e.g., surveillance autonomous rovers). Since software is becoming the central focus of modern robotic systems, it is important to understand how it influences the energy consumption of the entire system. However, there is no systematic study of the state of the art in energy efficiency of robotics software that could guide research or practitioners in finding solutions and tools to develop robotic systems with energy efficiency in mind. the goal of this paper is to present a review of existing research on energy efficiency in robotics software. Specifically, we investigate on (i) the used metrics for energy efficiency, (ii) the application domains within the robotics area covered by research on energy efficiency, (iii) the identified major energy consumers within a robotic system, (iv) how existing approaches are evaluated, (v) the used energy models, (vi) the techniques supporting the development of energy-efficient robotics software, and (vii) which quality attributes tend to be traded off when dealing with energy efficiency in robotics. We also provide a replication package to assess, extend, and/or replicate the study. the results of this work can guide researchers and practitioners in robotics and software engineering in better reasoning and contributing to energy-efficient robotics software.

关键词： Energy efficiency, Robotics, Systematic literature review

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