Traceability Establishment and Visualization of Software Artefacts in DevOps Practice: A Survey

Meedeniya, Dulani; Rubasinghe, Iresha; Perera, Indika

doi:10.14569/ijacsa.2019.0100711

Cited by 7 publications

(4 citation statements)

References 53 publications

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“…The adoption of new processes [3] C7 Difficulties in allocating resources [33]- [36] C8 Lack of cross-functional leadership [25] C9 Lack of leadership [25], [37] C10 Lack of performance evaluation with a quality metric [31], [37]- [40] C11 Lack of a clear concept and strategic direction [24], [37], [41] C12 Less management support [25], [27] C13 Lack of practice guidelines [24] C14…”

Section: C2mentioning

confidence: 99%

DevOps Implementation Challenges in the Indonesian Public Health Organization

Qahar,

Raharjo

2023

IJACSA

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The importance of accelerating software development to meet rapidly changing business needs has driven the Indonesian Public Health Organization (IPHO) to adopt DevOps. But after three years, the expected benefits have not been achieved. This research aims to identify the main challenges and obstacles in implementing DevOps at IPHO. A comprehensive examination of existing literature is employed to recognize prevalent difficulties encountered by organizations when implementing DevOps. The main factors are ranked using the Fuzzy Analytic Hierarchy Process (FAHP) based on survey data from DevOps practitioners at IPHO. This study helps fill in some gaps left by empirical studies on the challenges in applying DevOps, especially in the public healthcare sector. It also streamlines the data collection and analysis process by utilizing FAHP, simplifying the survey process, and reducing the number of questions compared to previous approaches. According to the research findings, the primary hurdle that requires attention is the mindset to transform from a traditional approach to continuous delivery. In addition, the lack of understanding about the benefits of implementing DevOps and the lack of crossfunctional leadership are also identified as challenges that need to be considered. However, IPHO does not view the use of legacy tools and technologies as a significant impediment to adopting DevOps.

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Section: C2mentioning

confidence: 99%

DevOps Implementation Challenges in the Indonesian Public Health Organization

Qahar,

Raharjo

2023

IJACSA

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“…DevOps consists of a stack of support tools to detect a change in a software artefact and manage the consistency among other artefacts that are affected by the change to ensure the efficiency and fast delivery of solutions [9,10]. Different Integrated Development Environments (IDE) are used during the software development process.…”

Section: Overview Of Devopsmentioning

confidence: 99%

“…The MLflow project can be used as a packaging tool for ML code which packages the code in a reusable and reproducible manner [18]. MLflow models manage many ML libraries 9 and deploy to model serving and interference platforms. The MLflow model registry section helps the central mode store to jointly govern the full life cycle of an ML model including versioning, phase changes, annotations 10 .…”

Section: Mlflowmentioning

confidence: 99%

Machine Learning Operations: A Survey on MLOps Tool Support

Hewage¹,

Meedeniya²

2022

Preprint

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Machine Learning (ML) has become a fast-growing, trending approach in solution development in practice. Deep Learning (DL) which is a subset of ML, learns using deep neural networks to simulate the human brain. It trains machines to learn techniques and processes individually using computer algorithms, which is also considered to be a role of Artificial Intelligence (AI). In this paper, we study current technical issues related to software development and delivery in organizations that work on ML projects. Therefore, the importance of the Machine Learning Operations (MLOps) concept, which can deliver appropriate solutions for such concerns, is discussed. We investigate commercially available MLOps tool support in software development. The comparison between MLOps tools analyzes the performance of each system and its use cases. Moreover, we examine the features and usability of MLOps tools to identify the most appropriate tool support for given scenarios. Finally, we recognize that there is a shortage in the availability of a fully functional MLOps platform on which processes can be automated by reducing human intervention.

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“…A document is considered traceable if its contents are unambiguous and its references are well-documented. In terms of traceability, there are two types: first is backward traceability and second is forward traceability [26] [27].…”

Section: ) Assessment Of Question 3 What Are the Gaps And Challenges ...mentioning

confidence: 99%

Requirement-Based Automated Test Case Generation: Systematic Literature Review

Farooq,

Tahreem

2022

VFAST trans. softw. eng.

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There exist multiple techniques of software testing like requirement-based testing (RBT) an approach of software testing from which the tester can generate test cases on the base of requirements without considering the internal system’s structure. In the current area, automation testing is used to minimize time, cost, and human effort. As compared to automated testing, manual testing processes consume more human effort and time. Requirements are documented in natural language so there is no extra training required to understand requirements, RBT is the most used testing technique. Test cases generated with customer requirements are mainly focused on functional test cases. Most approaches focus on real-time embedded systems rather than UML diagrams because non-functional needs are not captured in test cases derived from UML diagrams. Metamodels can be used to extract information from requirements in some cases. Active testing approaches, bounded model checking, activity diagrams, Petri nets round strip strategy, and extended use cases are just a few of the typical ways used to generate test cases. In this article, multiple techniques of automated test case generation have been discussed which are not being addressed in state-of-art literature reviews. Studies included in this systematic literature review (SLR) are built on a set of three research objectives and a variety of high-quality evaluation criteria. Taxonomy has been presented based on test case generation with requirement-based techniques and tools. In the end, gaps and challenges have been discussed to assist researchers to pursue future work.

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Traceability Establishment and Visualization of Software Artefacts in DevOps Practice: A Survey

Cited by 7 publications

References 53 publications

DevOps Implementation Challenges in the Indonesian Public Health Organization

DevOps Implementation Challenges in the Indonesian Public Health Organization

Machine Learning Operations: A Survey on MLOps Tool Support

Requirement-Based Automated Test Case Generation: Systematic Literature Review

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