Software Quality Journal最新文献_第2页

ASDMG: business topic clustering-based architecture smell detection for microservice granularity ASDMG：基于业务主题聚类的微服务粒度架构气味检测

IF 1.9 3区计算机科学

Software Quality Journal Pub Date : 2024-07-08 DOI: 10.1007/s11219-024-09681-5

Sixuan Wang, Baoqing Jin, Dongjin Yu, Shuhan Cheng

{"title":"ASDMG: business topic clustering-based architecture smell detection for microservice granularity","authors":"Sixuan Wang, Baoqing Jin, Dongjin Yu, Shuhan Cheng","doi":"10.1007/s11219-024-09681-5","DOIUrl":"https://doi.org/10.1007/s11219-024-09681-5","url":null,"abstract":"Microservices architecture smells can significantly affect the quality of microservices due to poor design decisions, especially the granularity smells of microservice architectures will greatly affect the quality of a microservices architecture. The state-of-the-art methods of microservice architectural granularity detection primarily focus on the service level, which lacks consideration of detailed information such as interfaces, and these methods also lack considerations about semantic information related to business logic, leading to lower accuracy in the detection results. To address these issues, we introduce ASDMG, which takes semantic information within the Abstract Syntax Tree (AST) into consideration, integrating them with data dependency to extract business topic relationships of functions. It performs interface-oriented business topic clustering, allowing comprehensive detection of granularity smells both within individual microservices as well as the overall microservice architecture. Experiments were conducted using 5 open-source microservice systems in different scales and domains. Results show that ASDMG achieves an average precision of 83.41%, an average recall of 95.84%, and an average accuracy of 95.85% in detecting architectural granularity smells. Compared to state-of-the-art methods, it achieves better detection results and can improve the quality of microservice architecture.","PeriodicalId":21827,"journal":{"name":"Software Quality Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141569078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Periodic and random incremental backup policies in reliability theory 可靠性理论中的周期和随机增量备份策略

IF 1.9 3区计算机科学

Software Quality Journal Pub Date : 2024-07-05 DOI: 10.1007/s11219-024-09685-1

Xufeng Zhao, Yilei Bu, Wendi Pang, Jiajia Cai

引用次数: 0

Integrated multi-view modeling for reliable machine learning-intensive software engineering 为可靠的机器学习密集型软件工程建立综合多视角模型

IF 1.9 3区计算机科学

Software Quality Journal Pub Date : 2024-07-03 DOI: 10.1007/s11219-024-09687-z

Jati H. Husen, Hironori Washizaki, Jomphon Runpakprakun, Nobukazu Yoshioka, Hnin Thandar Tun, Yoshiaki Fukazawa, Hironori Takeuchi

引用次数: 0

A comparative study of software defect binomial classification prediction models based on machine learning 基于机器学习的软件缺陷二项式分类预测模型比较研究

IF 1.9 3区计算机科学

Software Quality Journal Pub Date : 2024-07-03 DOI: 10.1007/s11219-024-09683-3

Hongwei Tao, Xiaoxu Niu, Lang Xu, Lianyou Fu, Qiaoling Cao, Haoran Chen, Songtao Shang, Yang Xian

{"title":"A comparative study of software defect binomial classification prediction models based on machine learning","authors":"Hongwei Tao, Xiaoxu Niu, Lang Xu, Lianyou Fu, Qiaoling Cao, Haoran Chen, Songtao Shang, Yang Xian","doi":"10.1007/s11219-024-09683-3","DOIUrl":"https://doi.org/10.1007/s11219-024-09683-3","url":null,"abstract":"As information technology continues to advance, software applications are becoming increasingly critical. However, the growing size and complexity of software development can lead to serious flaws resulting in significant financial losses. To address this issue, Software Defect Prediction (SDP) technology is being developed to detect and resolve defects early in the software development process, ensuring high software quality. As a result, SDP research has become a major focus for academics worldwide. This study aims to compare various machine learning-based SDP algorithm models and determine if traditional machine learning algorithms affect SDP outcomes. Unlike previous studies that aimed to identify the best prediction model for all datasets, this paper constructs SDP superiority models separately for different datasets. Using the publicly available ESEM2016 dataset, 13 machine learning classification algorithms are employed to predict software defects. Evaluation indicators such as Accuracy, AUC(Area Under the Curve), F-measure, and Running Time(RT) are utilized to assess the performance of the classification algorithms. Due to the serious class imbalance problem in this dataset, 10 sampling methods are combined with the 13 machine learning algorithms to explore the effect of sampling techniques on the performance of traditional machine learning classification models. Finally, a comprehensive evaluation is conducted to identify the best combination of sampling techniques and classification models to construct the final dominant model for SDP.","PeriodicalId":21827,"journal":{"name":"Software Quality Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141523168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring behaviours of RESTful APIs in an industrial setting 在工业环境中探索 RESTful API 的行为

IF 1.9 3区计算机科学

Software Quality Journal Pub Date : 2024-07-03 DOI: 10.1007/s11219-024-09686-0

Stefan Karlsson, Robbert Jongeling, Adnan Čaušević, Daniel Sundmark

{"title":"Exploring behaviours of RESTful APIs in an industrial setting","authors":"Stefan Karlsson, Robbert Jongeling, Adnan Čaušević, Daniel Sundmark","doi":"10.1007/s11219-024-09686-0","DOIUrl":"https://doi.org/10.1007/s11219-024-09686-0","url":null,"abstract":"A common way of exposing functionality in contemporary systems is by providing a Web-API based on the REST API architectural guidelines. To describe REST APIs, the industry standard is currently OpenAPI-specifications. Test generation and fuzzing methods targeting OpenAPI-described REST APIs have been a very active research area in recent years. An open research challenge is to aid users in better understanding their API, in addition to finding faults and to cover all the code. In this paper, we address this challenge by proposing a set of behavioural properties, common to REST APIs, which are used to generate examples of behaviours that these APIs exhibit. These examples can be used both (i) to further the understanding of the API and (ii) as a source of automatic test cases. Our evaluation shows that our approach can generate examples deemed relevant for understanding the system and for a source of test generation by practitioners. In addition, we show that basing test generation on behavioural properties provides tests that are less dependent on the state of the system, while at the same time yielding a similar code coverage as state-of-the-art methods in REST API fuzzing in a given time limit.","PeriodicalId":21827,"journal":{"name":"Software Quality Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141546998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancement and formal verification of the ICC mechanism with a sandbox approach in android system 在安卓系统中采用沙盒方法增强和正式验证 ICC 机制

IF 1.9 3区计算机科学

Software Quality Journal Pub Date : 2024-06-27 DOI: 10.1007/s11219-024-09684-2

Jiaqi Yin, Sini Chen, Yixiao Lv, Huibiao Zhu

{"title":"Enhancement and formal verification of the ICC mechanism with a sandbox approach in android system","authors":"Jiaqi Yin, Sini Chen, Yixiao Lv, Huibiao Zhu","doi":"10.1007/s11219-024-09684-2","DOIUrl":"https://doi.org/10.1007/s11219-024-09684-2","url":null,"abstract":"Inter-Component Communication (ICC) plays a crucial role in facilitating information exchange and functionality integration within the complex ecosystem of Android systems. However, the security and safety implications arising from ICC interactions pose significant challenges. This paper is an extended work building upon our previously published research that focuses on the verification of safety properties in the ICC mechanism. We address the previously observed issues of data leakage and privilege escalation by incorporating a sandbox mechanism and permission control. The sandbox mechanism provides an isolated and controlled environment in which ICC components can operate while permission control mechanisms are introduced to enforce fine-grained access controls, ensuring that only authorized entities have access to sensitive resources. We further leverage formal methods, specifically communicating sequential processes (CSP), to verify several properties of the enhanced ICC mechanism. By employing CSP, we aim to systematically model and analyze the flow of information, the behavior of components, and the potential vulnerabilities associated with the enhanced ICC mechanism. The verification results highlight the effectiveness of our approach in enhancing the security and reliability of ICC mechanisms, ultimately contributing to the development of safer and more trustworthy Android Systems.","PeriodicalId":21827,"journal":{"name":"Software Quality Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141529571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unraveling the code: an in-depth empirical study on the impact of development practices in auxiliary functions implementation 解读代码：关于辅助功能实施过程中开发实践影响的深入实证研究

IF 1.9 3区计算机科学

Software Quality Journal Pub Date : 2024-06-25 DOI: 10.1007/s11219-024-09682-4

Otávio Lemos, Fábio Silveira, Fabiano Ferrari, Tiago Silva, Eduardo Guerra, Alessandro Garcia

{"title":"Unraveling the code: an in-depth empirical study on the impact of development practices in auxiliary functions implementation","authors":"Otávio Lemos, Fábio Silveira, Fabiano Ferrari, Tiago Silva, Eduardo Guerra, Alessandro Garcia","doi":"10.1007/s11219-024-09682-4","DOIUrl":"https://doi.org/10.1007/s11219-024-09682-4","url":null,"abstract":"Auxiliary functions in software systems, often overlooked due to their perceived simplicity, play a crucial role in overall system reliability. This study focuses on the effectiveness of agile practices, specifically the pair programming and the test-first programming practices. Despite the importance of these functions, there exists a dearth of empirical evidence on the impact of agile practices on their development, raising questions about their potential to enhance correctness without affecting time-to-market. This paper aims to bridge this gap by comparing the application of agile practices with traditional approaches in the context of auxiliary function development. We conducted six experiments involving 122 participants (85 novices and 37 professionals) who used both traditional and agile methods to develop six auxiliary functions across three different domains. Our analysis of 244 implementations suggests the potential benefits of agile practices in auxiliary function development. Pair programming showed a tendency towards improved correctness, while test-first programming did not significantly extend the total development time, particularly among professionals. However, these findings should be interpreted cautiously as they do not conclusively establish that agile practices outperform traditional approaches universally. As indicated by our results, the potential benefits of agile practices may vary depending on factors such as the programmer’s experience level and the nature of the functions being developed. Further research is needed to fully understand the contexts in which these practices can be most effectively applied and to address the potential limitations of our study.","PeriodicalId":21827,"journal":{"name":"Software Quality Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards engineering higher quality intelligent environments: a multi case study approach 实现更高质量的智能环境工程：多案例研究法

IF 1.9 3区计算机科学

Software Quality Journal Pub Date : 2024-06-14 DOI: 10.1007/s11219-024-09678-0

Adityarajsingh Santokhee, Juan Carlos Augusto, Lindsey Brodie

引用次数: 0

Two improving approaches for faulty interaction localization using logistic regression analysis 利用逻辑回归分析进行故障交互定位的两种改进方法

IF 1.9 3区计算机科学

Software Quality Journal Pub Date : 2024-06-07 DOI: 10.1007/s11219-024-09677-1

Kinari Nishiura, Eunjong Choi, Eunjong Choi, Osamu Mizuno

引用次数: 0

A rule-based approach for the identification of quality improvement opportunities in GRL models 基于规则的方法，用于识别全球风险评估模型中的质量改进机会

IF 1.9 3区计算机科学

Software Quality Journal Pub Date : 2024-06-06 DOI: 10.1007/s11219-024-09679-z

Mawal A. Mohammed, Mohammad Alshayeb, Jameleddine Hassine

引用次数: 0