Automated identification of security discussions in microservices systems: Industrial surveys and experiments

Nasab, Ali Rezaei; Shahin, Mojtaba; Liang, Peng; Basiri, Mohammad Ehsan; Raviz, Seyed Ali Hoseyni; Khalajzadeh, Hourieh; Waseem, Muhammad; Naseri, Ali

doi:10.1016/j.jss.2021.111046

Cited by 7 publications

(3 citation statements)

References 42 publications

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“…The two statistical features, namely BoW (bag of words) and TF-IDF (term frequency-inverse document frequency), have been used in previous studies for the classification of human values and their related concepts in software engineering (e.g. (Jha and Mahmoud 2019;Rezaei Nasab et al 2021;Ishita et al 2010;Ortu et al 2016)). BoW represents each issue in terms and its number of occurrences in that unit (Schütze et al 2008).…”

Section: Feature Extractionmentioning

confidence: 99%

Integrating human values in software development using a human values dashboard

et al. 2023

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There is a growing awareness of the importance of human values in software systems. However, limited tools are available to support the integration of human values during software development. Most of these tools are focused on concepts related to specific, well-known human values (e.g., privacy, security) in software engineering. This paper aims to (partially) address this gap by developing a human values dashboard. We conducted a multi-stage study to design, implement and evaluate a human values dashboard. First, an exploratory study was conducted by interviewing 15 software practitioners to investigate the possibility of using a human values dashboard to help address human values in software development, its potential benefits, and required features. Second, we experimented with four Machine Learning approaches to detect the presence of human values in issue discussions. We used the best approach to develop a human values dashboard for software development. The dashboard displays whether any human values are present in each issue discussion. Finally, we interviewed ten different practitioners to investigate the usefulness of the dashboard in practice. This study found that the human values dashboard could help raise awareness, focus attention, and prioritise issues based on the presence of values. This study also identified two potential challenges to the adoption of the dashboard. First, the possible incorrect issues description that can mislead the automated values identification in the dashboard. Second, the lack of willingness of a company to adopt the dashboard.

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Section: Feature Extractionmentioning

confidence: 99%

Integrating human values in software development using a human values dashboard

et al. 2023

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“…Finally, at the end of the survey, we ask an open-ended question to let the respondents freely provide comments and suggestions about our survey. To formulate the statements, we took inspiration from the survey questions of two survey studies (Nasab et al, 2021;Khalajzadeh et al, 2022) that evaluate the usefulness of automatic classifiers based on ML and DL techniques 6. Towards Automatic Identification of Violation Symptoms of Architecture Erosion in the software engineering community.…”

Section: Phase 2 -Validation Surveymentioning

confidence: 99%

“…Their results show that automated techniques can help developers to recognize and appreciate human-centric issues of end-users more easily. Nasab et al (Nasab et al, 2021) developed 15 ML and DL models to automatically identify security discussions, and then they collected practitioners' feedback through a validation survey and confirmed the promising applications of the models in practice. AlOmar et al (AlOmar et al, 2021) proposed an approach to automatically identify and classify self-admitted refactoring in commit messages.…”

Section: Analyzing Software Repositories With Machine Learning and De...mentioning

confidence: 99%

Understanding, Analysis, and Handling of Software Architecture Erosion

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Architecture erosion reflects the tendency of an implemented architecture of a software system to gradually diverge from the intended architecture. Empirical evidence from numerous studies has demonstrated that architecture erosion significantly impacts various aspects of software development, maintenance, and evolution. This is because, architecture erosion often tends to occur imperceptibly and accumulates over time, making its repair challenging, costly, and sometimes even impossible. Therefore, timely detection and remediation of architecture erosion become crucial.One way to manage architecture erosion is by identifying its early symptoms, such as lack of modularity and various architectural smells. By identifying and managing these symptoms and their evolution, developers can gain insights into the software system's health and take proactive measures like architecture refactoring. This early warning mechanism not only aids in repairing eroded architecture, but also helps in understanding, identifying, analyzing, and optimizing software architecture, ultimately improving software product quality. However, despite several research studies investigating the architecture erosion phenomenon, the current state of the art has certain shortcomings. Specifically, there is a lack of comprehensive understanding of the nature of architecture erosion, it is unclear which symptoms of architecture erosion are the most common, and there is a lack of effective methods to identify these symptoms. Hence, the main research objective of this thesis is to establish a landscape of architecture erosion, investigate common erosion symptoms, and propose feasible approaches to identify and handle architecture erosion.To achieve the stated objective, we first need to obtain a landscape of the architecture erosion phenomenon and its current state of research in the literature. To this end, we conducted a systematic mapping study that covers the literature spanning te meten. Door middel van een reeks experimenten hebben we deze methoden afzonderlijk geëvalueerd en vergeleken met de basisbenadering (RevFinder). De resultaten toonden aan dat de gangbare gelijkenisdetectiemethoden acceptabele prestatiescores vertoonden en RevFinder overtroffen bij het aanbevelen van code reviewers voor architectuurschendingen. Bovendien ontdekten we dat de samplingtechnieken die worden gebruikt bij het aanbevelen van code reviewers, invloed hebben op de prestaties van reviewer aanbevelingsbenaderingen.

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A Bird’s Eye View of Microservice Architecture from the Lens of Cloud Computing

Vaniyawala,

Pandey

2024

Communications in Computer and Information Science

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Automated identification of security discussions in microservices systems: Industrial surveys and experiments

Cited by 7 publications

References 42 publications

Integrating human values in software development using a human values dashboard

Integrating human values in software development using a human values dashboard

Understanding, Analysis, and Handling of Software Architecture Erosion

A Bird’s Eye View of Microservice Architecture from the Lens of Cloud Computing

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