2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)最新文献_第10页

Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services 对质量失去信心:计算机视觉服务的潜规则演变

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-06-18 DOI: 10.1109/ICSME.2019.00051

Alex Cummaudo, Rajesh Vasa, J. Grundy, Mohamed Abdelrazek, A. Cain

{"title":"Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services","authors":"Alex Cummaudo, Rajesh Vasa, J. Grundy, Mohamed Abdelrazek, A. Cain","doi":"10.1109/ICSME.2019.00051","DOIUrl":"https://doi.org/10.1109/ICSME.2019.00051","url":null,"abstract":"Recent advances in artificial intelligence (AI) and machine learning (ML), such as computer vision, are now available as intelligent services and their accessibility and simplicity is compelling. Multiple vendors now offer this technology as cloud services and developers want to leverage these advances to provide value to end-users. However, there is no firm investigation into the maintenance and evolution risks arising from use of these intelligent services; in particular, their behavioural consistency and transparency of their functionality. We evaluated the responses of three different intelligent services (specifically computer vision) over 11 months using 3 different data sets, verifying responses against the respective documentation and assessing evolution risk. We found that there are: (1) inconsistencies in how these services behave; (2) evolution risk in the responses; and (3) a lack of clear communication that documents these risks and inconsistencies. We propose a set of recommendations to both developers and intelligent service providers to inform risk and assist maintainability.","PeriodicalId":106748,"journal":{"name":"2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129536958","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: 16

Assuring the Evolvability of Microservices: Insights into Industry Practices and Challenges 确保微服务的可演化性:洞察行业实践和挑战

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-06-12 DOI: 10.1109/ICSME.2019.00089

J. Bogner, J. Fritzsch, S. Wagner, A. Zimmermann

{"title":"Assuring the Evolvability of Microservices: Insights into Industry Practices and Challenges","authors":"J. Bogner, J. Fritzsch, S. Wagner, A. Zimmermann","doi":"10.1109/ICSME.2019.00089","DOIUrl":"https://doi.org/10.1109/ICSME.2019.00089","url":null,"abstract":"While Microservices promise several beneficial characteristics for sustainable long-term software evolution, little empirical research covers what concrete activities industry applies for the evolvability assurance of Microservices and how technical debt is handled in such systems. Since insights into the current state of practice are very important for researchers, we performed a qualitative interview study to explore applied evolvability assurance processes, the usage of tools, metrics, and patterns, as well as participants' reflections on the topic. In 17 semi-structured interviews, we discussed 14 different Microservice-based systems with software professionals from 10 companies and how the sustainable evolution of these systems was ensured. Interview transcripts were analyzed with a detailed coding system and the constant comparison method. We found that especially systems for external customers relied on central governance for the assurance. Participants saw guidelines like architectural principles as important to ensure a base consistency for evolvability. Interviewees also valued manual activities like code review, even though automation and tool support was described as very important. Source code quality was the primary target for the usage of tools and metrics. Despite most reported issues being related to Architectural Technical Debt (ATD), our participants did not apply any architectural or service-oriented tools and metrics. While participants generally saw their Microservices as evolvable, service cutting and finding an appropriate service granularity with low coupling and high cohesion were reported as challenging. Future Microservices research in the areas of evolution and technical debt should take these findings and industry sentiments into account.","PeriodicalId":106748,"journal":{"name":"2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127117429","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: 28

Microservices Migration in Industry: Intentions, Strategies, and Challenges 工业中的微服务迁移:意图、策略和挑战

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-06-11 DOI: 10.1109/ICSME.2019.00081

J. Fritzsch, J. Bogner, S. Wagner, A. Zimmermann

{"title":"Microservices Migration in Industry: Intentions, Strategies, and Challenges","authors":"J. Fritzsch, J. Bogner, S. Wagner, A. Zimmermann","doi":"10.1109/ICSME.2019.00081","DOIUrl":"https://doi.org/10.1109/ICSME.2019.00081","url":null,"abstract":"To remain competitive in a fast changing environment, many companies started to migrate their legacy applications towards a Microservices architecture. Such extensive migration processes require careful planning and consideration of implications and challenges likewise. In this regard, hands-on experiences from industry practice are still rare. To fill this gap in scientific literature, we contribute a qualitative study on intentions, strategies, and challenges in the context of migrations to Microservices. We investigated the migration process of 14 systems across different domains and sizes by conducting 16 in-depth interviews with software professionals from 10 companies. Along with a summary of the most important findings, we present a separate discussion of each case. As primary migration drivers, maintainability and scalability were identified. Due to the high complexity of their legacy systems, most companies preferred a rewrite using current technologies over splitting up existing code bases. This was often caused by the absence of a suitable decomposition approach. As such, finding the right service cut was a major technical challenge, next to building the necessary expertise with new technologies. Organizational challenges were especially related to large, traditional companies that simultaneously established agile processes. Initiating a mindset change and ensuring smooth collaboration between teams were crucial for them. Future research on the evolution of software systems can in particular profit from the individual cases presented.","PeriodicalId":106748,"journal":{"name":"2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115676052","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: 50

An Analysis of 35+ Million Jobs of Travis CI 特拉维斯公司3500多万个工作岗位分析

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-04-20 DOI: 10.1109/ICSME.2019.00044

Monperrus Martin, Thomas Durieux, Rui Abreu, Tegawendé F. Bissyandé, Luis Cruz

引用次数: 17

Learning How to Mutate Source Code from Bug-Fixes 学习如何从bug修复中修改源代码

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2018-12-27 DOI: 10.1109/ICSME.2019.00046

Michele Tufano, Cody Watson, G. Bavota, M. D. Penta, Martin White, D. Poshyvanyk

{"title":"Learning How to Mutate Source Code from Bug-Fixes","authors":"Michele Tufano, Cody Watson, G. Bavota, M. D. Penta, Martin White, D. Poshyvanyk","doi":"10.1109/ICSME.2019.00046","DOIUrl":"https://doi.org/10.1109/ICSME.2019.00046","url":null,"abstract":"Mutation testing has been widely accepted as an approach to guide test case generation or to assess the effectiveness of test suites. Empirical studies have shown that mutants are representative of real faults; yet they also indicated a clear need for better, possibly customized, mutation operators and strategies. While methods to devise domain-specific or general-purpose mutation operators from real faults exist, they are effort-and error-prone, and do not help the tester to decide whether and how to mutate a given source code element. We propose a novel approach to automatically learn mutants from faults in real programs. First, our approach processes bug fixing changes using fine-grained differencing, code abstraction, and change clustering. Then, it learns mutation models using a deep learning strategy. We have trained and evaluated our technique on a set of ~787k bug fixes mined from GitHub. Our empirical evaluation showed that our models are able to predict mutants that resemble the actual fixed bugs in between 9% and 45% of the cases, and over 98% of the automatically generated mutants are lexically and syntactically correct.","PeriodicalId":106748,"journal":{"name":"2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122902854","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: 56