2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)最新文献_第6页

Reducing Experiment Costs in Automated Software Performance Regression Detection 降低自动化软件性能回归检测的实验成本

2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) Pub Date : 2022-08-01 DOI: 10.1109/SEAA56994.2022.00017

Milad Abdullah, L. Bulej, T. Bures, P. Hnetynka, Vojtech Horký, P. Tůma

引用次数: 2

Effort Prediction with Limited Data: A Case Study for Data Warehouse Projects 有限数据下的工作量预测:数据仓库项目的案例研究

2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) Pub Date : 2022-08-01 DOI: 10.1109/SEAA56994.2022.00044

Hüseyin Ünlü, Ali Yildiz, Onur Demirörs

{"title":"Effort Prediction with Limited Data: A Case Study for Data Warehouse Projects","authors":"Hüseyin Ünlü, Ali Yildiz, Onur Demirörs","doi":"10.1109/SEAA56994.2022.00044","DOIUrl":"https://doi.org/10.1109/SEAA56994.2022.00044","url":null,"abstract":"Organizations may create a sustainable competitive advantage against competitors by using data warehouse systems with which they can assess the current status of their operations at any moment. They can analyze trends and connections using up-to-date data. However, data warehouse projects tend to fail more often than other projects as it can be tough to estimate the effort required to build a data warehouse system. Functional size measurement is one of the methods used as an input for estimating the amount of work in a software project. In this study, we formed a measurement basis for DWH projects in an organization based on the COSMIC Functional Size Measurement Method. We mapped COSMIC rules on two different architectures used for DWH projects in the organization and measured the size of the projects. We calculated the productivity of the projects and compared them with the organization’s previous projects and DWH projects in the ISBSG repository. We could not create an organization-wide effort estimation model as we had a limited number of projects. As an alternative, we evaluated the success of effort estimation using DWH projects in the ISBSG repository. We also reported the challenges we faced during the size measurement process.","PeriodicalId":269970,"journal":{"name":"2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","volume":"236 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115559382","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

Microservices smell detection through dynamic analysis 通过动态分析进行微服务气味检测

2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) Pub Date : 2022-08-01 DOI: 10.1109/SEAA56994.2022.00052

Paolo Bacchiega, Ilaria Pigazzini, F. Fontana

引用次数: 2

The Role Of Post-Release Software Traceability in Release Engineering: A Software-Intensive Embedded Systems Case Study From The Telecommunications Domain 发布后软件可追溯性在发布工程中的作用:来自电信领域的软件密集型嵌入式系统案例研究

2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) Pub Date : 2022-08-01 DOI: 10.1109/SEAA56994.2022.00034

Anas Dakkak, Jan Bosch, H. H. Olsson

{"title":"The Role Of Post-Release Software Traceability in Release Engineering: A Software-Intensive Embedded Systems Case Study From The Telecommunications Domain","authors":"Anas Dakkak, Jan Bosch, H. H. Olsson","doi":"10.1109/SEAA56994.2022.00034","DOIUrl":"https://doi.org/10.1109/SEAA56994.2022.00034","url":null,"abstract":"Modern release engineering practices such as continuous integration and delivery have allowed software development companies to transition from a long release cycle to a shorter one. The shorter release cycle has led to more software releases available to customers. At the same time, companies developing high-volume software-intensive embedded systems often deliver patch releases and maintenance releases on top of major and minor releases to customers who pick and choose what releases apply to them and decide when to upgrade the system, if to upgrade at all. While release engineering has been studied before in web-based, desktop-based, and embedded software, the focus has been on pre-release activities. Few studies have investigated what happens after the release, particularly the role of tracing software from release to deployment in high-volume software-intensive embedded systems. To address this gap, we conducted a qualitative case study at a multi-national telecommunications systems provider focusing on Radio Access Network (RAN) software. RAN software is a complex and large-scale embedded software used in mobile networks Base Stations (BS), providing software functionality for RAN mobile technologies ranging from 2G to 5G. Our study shed light on post-release software traceability and how it is used in the release engineering process.","PeriodicalId":269970,"journal":{"name":"2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","volume":"544 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114711039","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

Evaluating Simple and Complex Models’ Performance When Predicting Accepted Answers on Stack Overflow 在堆栈溢出预测可接受答案时评估简单和复杂模型的性能

2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) Pub Date : 2022-08-01 DOI: 10.1109/SEAA56994.2022.00014

Osayande P. Omondiagbe, Sherlock A. Licorish, Stephen G. MacDonell

{"title":"Evaluating Simple and Complex Models’ Performance When Predicting Accepted Answers on Stack Overflow","authors":"Osayande P. Omondiagbe, Sherlock A. Licorish, Stephen G. MacDonell","doi":"10.1109/SEAA56994.2022.00014","DOIUrl":"https://doi.org/10.1109/SEAA56994.2022.00014","url":null,"abstract":"Stack Overflow is used to solve programming issues during software development. Research efforts have looked to identify relevant content on this platform. In particular, researchers have proposed various modelling techniques to predict acceptable Stack Overflow answers. Less interest, however, has been dedicated to examining the performance and quality of typically used modelling methods with respect to the model and feature complexity. Such insights could be of practical significance to the many practitioners who develop models for Stack Overflow. This study examines the performance and quality of two modelling methods, of varying degree of complexity, used for predicting Java and JavaScript acceptable answers on Stack Overflow. Our dataset comprised 249,588 posts drawn from years 2014-2016. Outcomes reveal significant differences in models’ performances and quality given the type of features and complexity of models used. Researchers examining model performance and quality and feature complexity may leverage these findings in selecting suitable modelling approaches for Q&A prediction.","PeriodicalId":269970,"journal":{"name":"2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129957589","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

End-to-end Timing Model Extraction from TSN-Aware Distributed Vehicle Software 基于tsn感知的分布式车辆软件端到端时序模型提取

2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) Pub Date : 2022-08-01 DOI: 10.1109/SEAA56994.2022.00064

Bahar Houtan, Mehmet Onur Aybek, M. Ashjaei, M. Daneshtalab, Mikael Sjödin, S. Mubeen

引用次数: 1

Easing the Reuse of ML Solutions by Interactive Clustering-based Autotuning in Scientific Applications 在科学应用中通过基于交互式聚类的自动调优简化机器学习解决方案的重用

2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) Pub Date : 2022-08-01 DOI: 10.1109/SEAA56994.2022.00011

H. Hajiabadi, Lennart Hilbert, A. Koziolek

{"title":"Easing the Reuse of ML Solutions by Interactive Clustering-based Autotuning in Scientific Applications","authors":"H. Hajiabadi, Lennart Hilbert, A. Koziolek","doi":"10.1109/SEAA56994.2022.00011","DOIUrl":"https://doi.org/10.1109/SEAA56994.2022.00011","url":null,"abstract":"Machine learning techniques have revolutionised scientific software projects. Scientists are continuously looking for novel approaches to production-quality reuse of machine learning solutions and to make them available to other components of the project with satisfactory quality and low costs. However, scientists often have limited knowledge about how to effectively reuse and adjust machine learning solutions in their particular scientific project. One challenge is that many machine learning solutions require parameter tuning based on the input data to achieve satisfactory results, which is difficult and cumbersome for users not familiar with machine learning. Autotuning is the common technique for potentially adjusting the parameters based on the data, but it requires a well-defined objective function to optimize for. Such an objective function is commonly unknown in exploratory scientific research such as biological image segmentation tasks. In this paper, we propose a framework based on the novel combination of autotuning and active learning to ease and partially automate the reuse effort of machine learning solutions for scientists in biological image segmentation cases. Underlying this combination is a mapping between an object type and specific parameters applied during the segmentation process. This mapping is iteratively adjusted by asking users for visual feedback. We then through a biological case study demonstrate that our method enables tuning of the segmentation specifically to object types, while the selective requests of user input reduce the number of user interactions required for this task.","PeriodicalId":269970,"journal":{"name":"2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123085129","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

Maintainability Challenges in ML: A Systematic Literature Review 机器学习中的可维护性挑战:系统文献综述

2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) Pub Date : 2022-08-01 DOI: 10.1109/SEAA56994.2022.00018

Karthik Shivashankar, A. Martini

{"title":"Maintainability Challenges in ML: A Systematic Literature Review","authors":"Karthik Shivashankar, A. Martini","doi":"10.1109/SEAA56994.2022.00018","DOIUrl":"https://doi.org/10.1109/SEAA56994.2022.00018","url":null,"abstract":"Background: As Machine Learning (ML) advances rapidly in many fields, it is being adopted by academics and businesses alike. However, ML has a number of different challenges in terms of maintenance not found in traditional software projects. Identifying what causes these maintainability challenges can help mitigate them early and continue delivering value in the long run without degrading ML performance. Aim: This study aims to identify and synthesise the maintainability challenges in different stages of the ML workflow and understand how these stages are interdependent and impact each other’s maintainability. Method: Using a systematic literature review, we screened more than 13000 papers, then selected and qualitatively analysed 56 of them. Results: (i) a catalogue of maintainability challenges in different stages of Data Engineering, Model Engineering workflows and the current challenges when building ML systems are discussed; (ii) a map of 13 maintainability challenges to different interdependent stages of ML that impact the overall workflow; (iii) Provided insights to developers of ML tools and researchers. Conclusions: In this study, practitioners and organisations will learn about maintainability challenges and their impact at different stages of ML workflow. This will enable them to avoid pitfalls and help to build a maintainable ML system. The implications and challenges will also serve as a basis for future research to strengthen our understanding of the ML system’s maintainability.","PeriodicalId":269970,"journal":{"name":"2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122911930","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: 2

Search Budget in Multi-Objective Refactoring optimization: a Model-Based Empirical Study 多目标重构优化中的搜索预算:基于模型的实证研究

2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) Pub Date : 2022-08-01 DOI: 10.1109/SEAA56994.2022.00070

Daniele Di Pompeo, Michele Tucci

{"title":"Search Budget in Multi-Objective Refactoring optimization: a Model-Based Empirical Study","authors":"Daniele Di Pompeo, Michele Tucci","doi":"10.1109/SEAA56994.2022.00070","DOIUrl":"https://doi.org/10.1109/SEAA56994.2022.00070","url":null,"abstract":"Software model optimization is the task of automatically generate design alternatives, usually to improve quality aspects of software that are quantifiable, like performance and reliability. In this context, multi-objective optimization techniques have been applied to help the designer find suitable tradeoffs among several non-functional properties. In this process, design alternatives can be generated through automated model refactoring, and evaluated on non-functional models. Due to their complexity, this type of optimization tasks require considerable time and resources, often limiting their application in software engineering processes.In this paper, we investigate the effects of using a search budget, specifically a time limit, to the search for new solutions. We performed experiments to quantify the impact that a change in the search budget may have on the quality of solutions. Furthermore, we analyzed how different genetic algorithms (i.e., NSGh-II, SPEh2, and PESA2) perform when imposing different budgets. We experimented on two case studies of different size, complexity, and domain.We observed that imposing a search budget considerably deteriorates the quality of the generated solutions, but the specific algorithm we choose seems to play a crucial role. From our experiments, NSGh-II is the fastest algorithm, while PESA2 generates solutions with the highest quality. Differently, SPEh2 is the slowest algorithm, and produces the solutions with the lowest quality.","PeriodicalId":269970,"journal":{"name":"2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126406123","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

Handling Environmental Uncertainty in Design Time Access Control Analysis 设计时访问控制分析中的环境不确定性处理

2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) Pub Date : 2022-08-01 DOI: 10.1109/SEAA56994.2022.00067

Nicolas Boltz, Sebastian Hahner, Maximilian Walter, Stephan Seifermann, R. Heinrich, T. Bures, P. Hnetynka

{"title":"Handling Environmental Uncertainty in Design Time Access Control Analysis","authors":"Nicolas Boltz, Sebastian Hahner, Maximilian Walter, Stephan Seifermann, R. Heinrich, T. Bures, P. Hnetynka","doi":"10.1109/SEAA56994.2022.00067","DOIUrl":"https://doi.org/10.1109/SEAA56994.2022.00067","url":null,"abstract":"The high complexity, connectivity, and data exchange of modern software systems make it crucial to consider confidentiality early. An often used mechanism to ensure confidentiality is access control. When the system is modeled during design time, access control can already be analyzed. This enables early identification of confidentiality violations and the ability to analyze the impact of what-if scenarios. However, due to the abstract view of the design time model and the ambiguity in the early stages of development, uncertainties exist in the system environment. These uncertainties can have a direct effect on the validity of access control attributes in use, which might result in compromised confidentiality.To handle such known uncertainty, we present a notion of confidence in the context of design time access control. We define confidence as a composition of known uncertainties in the environment of the system, which influence the validity of access control attributes. We extend an existing modeling and analysis approach for design time access control with our notion of confidence. For evaluation, we apply the notion of confidence to multiple real-world case studies and discuss the resulting benefits for different stages of system development. We also analyze the expressiveness of the extended approach in defining confidentiality constraints and measure the accuracy in identifying confidentiality violations. Our results show that using the notion of confidence increases expressiveness while being able to accurately identify access control violations.","PeriodicalId":269970,"journal":{"name":"2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114480454","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