2018 25th Australasian Software Engineering Conference (ASWEC)最新文献

Code Reuse in Stack Overflow and Popular Open Source Java Projects 堆栈溢出和流行的开源Java项目中的代码重用

2018 25th Australasian Software Engineering Conference (ASWEC) Pub Date : 2018-11-01 DOI: 10.1109/ASWEC.2018.00027

Adriaan Lotter, Sherlock A. Licorish, Bastin Tony Roy Savarimuthu, Sarah Meldrum

{"title":"Code Reuse in Stack Overflow and Popular Open Source Java Projects","authors":"Adriaan Lotter, Sherlock A. Licorish, Bastin Tony Roy Savarimuthu, Sarah Meldrum","doi":"10.1109/ASWEC.2018.00027","DOIUrl":"https://doi.org/10.1109/ASWEC.2018.00027","url":null,"abstract":"Solutions provided in Question and Answer (Q&A) websites such as Stack Overflow are regularly used in Open Source Software (OSS). However, many developers are unaware that both Stack Overflow and OSS are governed by licenses. Hence, developers reusing code from Stack Overflow for their OSS projects may violate licensing agreements if their attributions are not correct. Additionally, if code migrates from one OSS through Stack Overflow to another OSS, then complex licensing issues are likely to exist. Such forms of software reuse also have implications for future software maintenance, particularly where developers have poor understanding of copied code. This paper investigates code reuse between these two platforms (i.e., Stack Overflow and OSS), with the aim of providing insights into this issue. This study mined 151,946 Java code snippets from Stack Overflow, 16,617 Java files from 12 of the top weekly listed projects on SourceForge and GitHub, and 39,616 Java files from the top 20 most popular Java projects on SourceForge. Our analyses were aimed at finding the number of clones (indicating reuse) (a) within Stack Overflow posts, (b) between Stack Overflow and popular Java OSS projects, and (c) between the projects. Outcomes reveal that there was up to 3.3% code reuse within Stack Overflow, while 1.0% of Stack Overflow code was reused in recent popular Java projects and 2.3% in those projects that were more established. Reuse across projects was much higher, accounting for as much as 77.2%. Our outcomes have implication for strategies aimed at introducing strict quality assurance measures to ensure the appropriateness of code reuse, and licensing requirements awareness.","PeriodicalId":331846,"journal":{"name":"2018 25th Australasian Software Engineering Conference (ASWEC)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128766376","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

Experience Building IT Infrastructure for Research with Online Youth Mental Health Tools 利用在线青少年心理健康工具为研究建立信息技术基础设施的经验

2018 25th Australasian Software Engineering Conference (ASWEC) Pub Date : 2018-11-01 DOI: 10.1109/ASWEC.2018.00029

J. Warren, E. Tempero, I. Warren, Anjuka Sathianathan, Sarah Hopkins, M. Shepherd, Sally Merry

引用次数: 4

Missing Clean Code Acceptance and Support in Practice - An Empirical Study 在实践中缺少干净代码的接受和支持——一项实证研究

2018 25th Australasian Software Engineering Conference (ASWEC) Pub Date : 2018-11-01 DOI: 10.1109/ASWEC.2018.00026

Paula Rachow, Sandra Schröder, Matthias Riebisch

{"title":"Missing Clean Code Acceptance and Support in Practice - An Empirical Study","authors":"Paula Rachow, Sandra Schröder, Matthias Riebisch","doi":"10.1109/ASWEC.2018.00026","DOIUrl":"https://doi.org/10.1109/ASWEC.2018.00026","url":null,"abstract":"Code quality is important for maintainability and sustainability of software systems, and is addressed by guidelines and peer reviews. There are well-defined methods and standards for code quality for example the Clean Code approach [1], and they are integrated with current software development process models such as SCRUM. However, developers have to be encouraged to invest effort due to the trade-off between software quality measures and projects' time pressure. Unfortunately, there are no proven hypotheses about the reasons for missing acceptance of such methods and standards by developers. To investigate hindering aspects for code quality acceptance in practice, empirical studies might help to determine the root problems and to establish solutions. However, there is a lack of empirical studies concerning this topic. Therefore, we performed an empirical study with practitioners to investigate problems and challenges while enforcing Clean Code. Semi-structured interviews were used to consult experienced practitioners from different companies and backgrounds. The transcripts were analyzed with open coding. The results showed that a lack of even one of the people-related aspects such as motivation, knowledge, experience and code quality awareness, hinders the enforcement of code quality. Surprisingly, tools might establish hindering factors due to high initial effort. As conclusions we propose implications for academic research, organization, practitioners and tool providers.","PeriodicalId":331846,"journal":{"name":"2018 25th Australasian Software Engineering Conference (ASWEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126241091","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: 5

Towards Understanding Programs by Counting Objects 通过计算对象来理解程序

2018 25th Australasian Software Engineering Conference (ASWEC) Pub Date : 2018-11-01 DOI: 10.1109/ASWEC.2018.00009

E. Tempero, P. Ralph

引用次数: 0

Identification of Technology Features to Understand and Maintain Software Architectures 识别技术特征以理解和维护软件架构

2018 25th Australasian Software Engineering Conference (ASWEC) Pub Date : 2018-11-01 DOI: 10.1109/ASWEC.2018.00035

Sebastian Gerdes, T. Fechner, Matthias Riebisch

{"title":"Identification of Technology Features to Understand and Maintain Software Architectures","authors":"Sebastian Gerdes, T. Fechner, Matthias Riebisch","doi":"10.1109/ASWEC.2018.00035","DOIUrl":"https://doi.org/10.1109/ASWEC.2018.00035","url":null,"abstract":"For software architects involved in maintaining existing software systems, understanding the architecture is a crucial task. They have to comprehend the evolution of a system and the rationale behind design decisions to avoid architecture erosion. This is challenging due to frequently outdated documentation and incomplete knowledge about the system, which especially applies to long-living systems. Therefore, it is necessary to retrieve the missing information straight from the existing system. Most existing approaches are limited to reconstruct the structure of a software system by preferably analyzing static dependencies between components, without considering their behavior. However, the usage of technologies determines the behavior of a software system. In this paper, we propose an approach to identify technology features in existing systems. Used technology features are fundamental facts which support architects to understand the software architecture and to find alternative technology solutions. We provide tool support and present first results of the identification of technology features in open source systems.","PeriodicalId":331846,"journal":{"name":"2018 25th Australasian Software Engineering Conference (ASWEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124454174","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

Monitoring Informed Testing for IoT 监测物联网的知情测试

2018 25th Australasian Software Engineering Conference (ASWEC) Pub Date : 2018-11-01 DOI: 10.1109/ASWEC.2018.00020

A. Abdullah, H. Schmidt, M. Spichkova, Huai Liu

引用次数: 5

Generating Pseudo-Code from Source Code Using Deep Learning 使用深度学习从源代码生成伪代码

2018 25th Australasian Software Engineering Conference (ASWEC) Pub Date : 2018-11-01 DOI: 10.1109/ASWEC.2018.00011

Abdulaziz Alhefdhi, K. Dam, Hideaki Hata, A. Ghose

引用次数: 14

Formal in the Informal: A Multi-Level Analysis of Core Python Developers' Tweets 非正式中的正式:核心Python开发者推文的多层次分析

2018 25th Australasian Software Engineering Conference (ASWEC) Pub Date : 2018-11-01 DOI: 10.1109/ASWEC.2018.00028

M. Yasir, Kevin Michael, Bastin Tony Roy Savarimuthu, Sherlock A. Licorish

{"title":"Formal in the Informal: A Multi-Level Analysis of Core Python Developers' Tweets","authors":"M. Yasir, Kevin Michael, Bastin Tony Roy Savarimuthu, Sherlock A. Licorish","doi":"10.1109/ASWEC.2018.00028","DOIUrl":"https://doi.org/10.1109/ASWEC.2018.00028","url":null,"abstract":"Context: Contributors to Open Source Software (OSS) development projects use social media to discuss personal and work-related issues. While there has been some interest in studying social media posts of developers, the investigation of the use of this medium by core contributors has not received much attention. Such an investigation could be useful given the technical and social insights such members bring to their team's development. Objective: To bridge this gap, we have investigated Python core developers' posts on Twitter. Method: We systematically collected 27,805 tweets from 80 core developers' Twitter accounts of which 3,282 (11.8%) were relevant to Python development. We performed multiple forms of analyses on these tweets, involving bottom-up thematic analysis on three levels (topics, questions and answers, and decision-making). We also conducted social network analysis of the topics of interest of core developers. Results: Core developers' Python-related tweets fall under 23 different topics (in 5 higher-level topic categories). The top two categories were software-related and community-related tweets. Core developers also used Twitter as a medium to discuss technical issues related to Python software development in the form of questions and answers (Q&As) to a large extent (45% of the tweets). Moreover, this informal medium is also used for decision-making 2% of the time, supplementing the formal channels of decision-making (i.e., mailing lists). Additionally, we have identified five different groups of core developers based on their topic interests. Conclusion: Although informal in nature, social media platforms provide another window, beyond formal project repositories, for understanding OSS ecosystems. Consequently, informal sources must be integrated with formal sources to obtain a comprehensive view of OSS development activities.","PeriodicalId":331846,"journal":{"name":"2018 25th Australasian Software Engineering Conference (ASWEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123493242","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: 5

Semi-Automated Extraction of New Requirements from Online Reviews for Software Product Evolution 从软件产品演进的在线评论中半自动提取新需求

2018 25th Australasian Software Engineering Conference (ASWEC) Pub Date : 2018-11-01 DOI: 10.1109/ASWEC.2018.00013

Jim Buchan, Muneera Bano, D. Zowghi, Phonephasouk Volabouth

{"title":"Semi-Automated Extraction of New Requirements from Online Reviews for Software Product Evolution","authors":"Jim Buchan, Muneera Bano, D. Zowghi, Phonephasouk Volabouth","doi":"10.1109/ASWEC.2018.00013","DOIUrl":"https://doi.org/10.1109/ASWEC.2018.00013","url":null,"abstract":"In order to improve and increase their utility, software products must evolve continually and incrementally to meet the new requirements of current and future users. Online reviews from users of the software provide a rich and readily available resource for discovering candidate new features for future software releases. However, it is challenging to manually analyze a large volume of potentially unstructured and noisy data to extract useful information to support software release planning decisions. This paper investigates machine learning techniques to automatically identify text that represents users' ideas for new features from their online reviews. A binary classification approach to categorize extracted text as either a feature or non-feature was evaluated experimentally. Three machine learning algorithms were evaluated in the experiments: Naïve Bayes (with multinomial and Bernoulli variants), Support Vector Machines (with linear and multinomial variants) and Logistic Regression. Variations on the configurations of k-fold cross validation, the use of n-grams and review sentiment were also experimentally evaluated. Based on binary classification of over a thousand separate reviews of two products, Trello and Jira, linear Support Vector Machines with review sentiment as an input, using n-gram (1,4) together with k-fold 10 cross validation gave the best performance. The results have confirmed the feasibility and accuracy of semi-automated extraction of candidate requirements from a large volume of unstructured and noisy online user reviews. The next steps planned are to experiment with machine supported grouping, prioritizing and visualizing the extracted features to best support release planners' work, as well as extending the sources of candidate requirements.","PeriodicalId":331846,"journal":{"name":"2018 25th Australasian Software Engineering Conference (ASWEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129995000","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: 5

Automated Analysis of the Impact of Weather Conditions on Medicine Consumption 天气状况对药品消费影响的自动分析

2018 25th Australasian Software Engineering Conference (ASWEC) Pub Date : 2018-11-01 DOI: 10.1109/ASWEC.2018.00030

M. Spichkova

引用次数: 10