2019 26th Asia-Pacific Software Engineering Conference (APSEC)最新文献_第7页

Verification of CTL_BDI Properties by Symbolic Model Checking 用符号模型检查验证CTL_BDI属性

2019 26th Asia-Pacific Software Engineering Conference (APSEC) Pub Date : 2019-12-01 DOI: 10.1109/APSEC48747.2019.00023

Ran Chen, Wenhui Zhang

引用次数: 0

Automatic Classifying Self-Admitted Technical Debt Using N-Gram IDF 基于N-Gram IDF的自承认技术债务自动分类

2019 26th Asia-Pacific Software Engineering Conference (APSEC) Pub Date : 2019-12-01 DOI: 10.1109/APSEC48747.2019.00050

Supatsara Wattanakriengkrai, Napat Srisermphoak, Sahawat Sintoplertchaikul, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, T. Sunetnanta, Hideaki Hata, Ken-ichi Matsumoto

引用次数: 10

Towards the Mechanized Semantics and Refinement of UML Class Diagrams UML类图的机械化语义和细化

2019 26th Asia-Pacific Software Engineering Conference (APSEC) Pub Date : 2019-12-01 DOI: 10.1109/APSEC48747.2019.00016

Feng Sheng, Huibiao Zhu, Zongyuang Yang

引用次数: 0

A Framework for Internet of Things Search Engines Engineering 物联网搜索引擎工程框架

2019 26th Asia-Pacific Software Engineering Conference (APSEC) Pub Date : 2019-12-01 DOI: 10.1109/APSEC48747.2019.00039

N. Tran, M. Babar, Quan Z. Sheng, J. Grundy

{"title":"A Framework for Internet of Things Search Engines Engineering","authors":"N. Tran, M. Babar, Quan Z. Sheng, J. Grundy","doi":"10.1109/APSEC48747.2019.00039","DOIUrl":"https://doi.org/10.1109/APSEC48747.2019.00039","url":null,"abstract":"The content of the Internet of Things (IoT), notably sensor data and virtual representation of physical devices, has been increasingly delivered via Web protocols and available on the World Wide Web (WWW). Internet of Things Search Engine (IoTSE) systems are catalytic to utilize this influx of data. They enable users to discover and retrieve relevant IoT content. While a general IoTSE system – the next \"Google\" – is beyond the horizon due to the vast diversity of IoT content and types of queries for them, specific IoTSE systems that target subsets of query types and IoT infrastructure are feasible and beneficial. A component-based engineering approach, in which prior IoTSE systems and research prototypes are reassembled as building blocks for new IoTSE systems, could be a time-and cost-effective solution to engineering IoTSE systems. This paper presents the design, implementation, and evaluation of a framework to facilitate a component-based approach to engineering IoTSE systems. As an evaluation, we developed eight IoTSE components and composed them into eight proof-of-concept IoTSE systems, using a reference implementation of the proposed framework. An analysis on Source Line of Code (SLOC) revealed that the complexity handled transparently by the IoTSE framework could account for over 90% of the code base of a simple IoTSE system.","PeriodicalId":325642,"journal":{"name":"2019 26th Asia-Pacific Software Engineering Conference (APSEC)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134115593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding the Effect of Developer Sentiment on Fix-Inducing Changes: An Exploratory Study on GitHub Pull Requests 理解开发者情绪对修复诱导变更的影响:对GitHub拉取请求的探索性研究

2019 26th Asia-Pacific Software Engineering Conference (APSEC) Pub Date : 2019-12-01 DOI: 10.1109/APSEC48747.2019.00075

Syed Fatiul Huq, Ali Zafar Sadiq, K. Sakib

{"title":"Understanding the Effect of Developer Sentiment on Fix-Inducing Changes: An Exploratory Study on GitHub Pull Requests","authors":"Syed Fatiul Huq, Ali Zafar Sadiq, K. Sakib","doi":"10.1109/APSEC48747.2019.00075","DOIUrl":"https://doi.org/10.1109/APSEC48747.2019.00075","url":null,"abstract":"Developer emotion or sentiment in a software development environment has the potential to affect performance, and consequently, the software itself. Sentiment analysis, conducted to analyze online collaborative artifacts, can derive effects of developer sentiment. This study aims to understand how developer sentiment is related to bugs, by analyzing the difference of sentiment between regular and Fix-Inducing Changes (FIC) - changes to code that introduce bugs in the system. To do so, sentiment is extracted from Pull Requests of 6 well known GitHub repositories, which contain both code and contributor discussion. Sentiment is calculated using a tool specializing in the software engineering domain: SentiStrength-SE. Next, FICs are detected from Commits by filtering the ones that fix bugs and tracking the origin of the code these remove. Commits are categorized based on FICs and assigned separate sentiment scores (-4 to +4) based on different preceding artifacts - Commits, Comments and Reviews from Pull Requests. The statistical result shows that FICs, compared to regular Commits, contain more positive Comments and Reviews. Commits that precede an FIC have more negative messages. Similarly, all the Pull Request artifacts combined are more negative for FICs than regular Commits.","PeriodicalId":325642,"journal":{"name":"2019 26th Asia-Pacific Software Engineering Conference (APSEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124477944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Enhancing Unsupervised Requirements Traceability with Sequential Semantics 用顺序语义增强无监督需求的可追溯性

2019 26th Asia-Pacific Software Engineering Conference (APSEC) Pub Date : 2019-12-01 DOI: 10.1109/APSEC48747.2019.00013

Lei Chen, Dandan Wang, Junjie Wang, Qing Wang

{"title":"Enhancing Unsupervised Requirements Traceability with Sequential Semantics","authors":"Lei Chen, Dandan Wang, Junjie Wang, Qing Wang","doi":"10.1109/APSEC48747.2019.00013","DOIUrl":"https://doi.org/10.1109/APSEC48747.2019.00013","url":null,"abstract":"Requirements traceability provides important support throughout all software life cycle; however, creating such links manually is time-consuming and error-prone. Supervised automated solutions use machine learning or deep learning techniques to generate trace links, but require large labeled dataset to train an effective model. Unsupervised solutions as word embedding approaches can generate links by capturing the semantic meaning of artifacts and are gaining more attention. Despite that, our observation revealed that, besides the semantic information, the sequential information of terms in the artifacts would provide additional assistance for building the accurate links. This paper proposes an unsupervised requirements traceability approach (named S2Trace) which learns the Sequential Semantics of software artifacts to generate the trace links. Its core idea is to mine the sequential patterns and use them to learn the document embedding representation. Evaluation is conducted on five public datasets, and results show that our approach outperforms three typical baselines. The modeling of sequential information in this paper provides new insights into the unsupervised traceability solutions, and the improvement in the traceability accuracy further proves the usefulness of the sequential information.","PeriodicalId":325642,"journal":{"name":"2019 26th Asia-Pacific Software Engineering Conference (APSEC)","volume":"44 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115816743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

BLINKER: A Blockchain-Enabled Framework for Software Provenance BLINKER:一个支持区块链的软件来源框架

2019 26th Asia-Pacific Software Engineering Conference (APSEC) Pub Date : 2019-12-01 DOI: 10.1109/APSEC48747.2019.00010

R.P. Jagadeesh Chandra Bose, Kanchanjot Kaur Phokela, Vikrant S. Kaulgud, Sanjay Podder

{"title":"BLINKER: A Blockchain-Enabled Framework for Software Provenance","authors":"R.P. Jagadeesh Chandra Bose, Kanchanjot Kaur Phokela, Vikrant S. Kaulgud, Sanjay Podder","doi":"10.1109/APSEC48747.2019.00010","DOIUrl":"https://doi.org/10.1109/APSEC48747.2019.00010","url":null,"abstract":"There has been a considerable shift in the way how software is built and delivered today. Most deployed software systems in modern times are created by (autonomous) distributed teams in heterogeneous environments making use of many artifacts, such as externally developed libraries, drawn from a variety of disparate sources. Stakeholders such as developers, managers, and clients across the software delivery value chain are interested in gaining insights such as how and why an artifact came to where it is, what other artifacts are related to it, and who else is using this. Software provenance encompasses the origins of artifacts, their evolution, and usage and is critical for comprehending, managing, decision-making, and analyzing software quality, processes, people, issues etc. In this paper, we propose an extensible framework based on standard provenance model specifications and blockchain technology for capturing, storing, exploring, and analyzing software provenance data. Our framework (i) enhances trustworthiness of provenance data (ii) uncovers non-trivial insights through inferences and reasoning, and (iii) enables interactive visualization of provenance insights. We demonstrate the utility of the proposed framework using open source project data.","PeriodicalId":325642,"journal":{"name":"2019 26th Asia-Pacific Software Engineering Conference (APSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129798066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Automatic Identifying Interaction Components in Collaborative Cyber-Physical Systems 协同信息物理系统中交互组件的自动识别

2019 26th Asia-Pacific Software Engineering Conference (APSEC) Pub Date : 2019-12-01 DOI: 10.1109/APSEC48747.2019.00035

D. Horn, Nazakat Ali, Jang-Eui Hong

{"title":"Automatic Identifying Interaction Components in Collaborative Cyber-Physical Systems","authors":"D. Horn, Nazakat Ali, Jang-Eui Hong","doi":"10.1109/APSEC48747.2019.00035","DOIUrl":"https://doi.org/10.1109/APSEC48747.2019.00035","url":null,"abstract":"Due to diverse set of heterogeneous computing devices communicating with one another and fusing with physical components in Cyber-Physical Systems, software engineers may use different tools and/or modeling languages to formally describe or verify the system properties. As a result, the integration of these diverse constituents poses key challenges such as task for identifying interactions of components to be synthesized for a function in the systems. Although existing studies such as ontology and integration semantic languages have been used for specifying interactions of components in a Cyber-Physical System, these are still not applicable to discover the component interactions in collaborative Cyber-Physical Systems. It is due to the fact that functionalities of Cyber-Physical Systems are generally realized through interactions among multiple systems in a collaborative environment. This paper proposes a model interaction language, CyPhyML+ which can identify component interactions of realized functions in collaborative Cyber-Physical Systems. We show the proposed approach validity and applicability via an Automatic Incident Detection System.","PeriodicalId":325642,"journal":{"name":"2019 26th Asia-Pacific Software Engineering Conference (APSEC)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124295998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

History Coupling Space: A New Model to Represent Evolutionary Relations 历史耦合空间:一种表示演化关系的新模型

2019 26th Asia-Pacific Software Engineering Conference (APSEC) Pub Date : 2019-12-01 DOI: 10.1109/APSEC48747.2019.00026

Ran Mo, Mengya Zhan

引用次数: 2

Generating Mock Skeletons for Lightweight Web-Service Testing 为轻量级web服务测试生成模拟骨架

2019 26th Asia-Pacific Software Engineering Conference (APSEC) Pub Date : 2019-10-21 DOI: 10.1109/APSEC48747.2019.00033

T. Bhagya, Jens Dietrich, H. Guesgen

引用次数: 5