Functional Size Measurement and Model Verification for Software Model-Driven Developments: A COSMIC-based Approach

Campusano, Marín; Mariela, Beatriz

doi:10.4995/thesis/10251/11237

Cited by 2 publications

(2 citation statements)

References 66 publications

(115 reference statements)

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“…Several approaches are defined to measure automatically existing code [14], [15]. To support automation, alternative methods relying on modeldriven engineering also propose to measure by leveraging conceptual models [16], [17]. Finally, Ochodek, Kopczyńska and Staron [18] proposed a deep learning model to approximate COSMIC size from use cases automatically.…”

Section: Related Workmentioning

confidence: 99%

Towards Modelling Acceptance Tests as a Support for Software Measurement

Lapointe-Boisvert

Mosser

Trudel

2021

2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)

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The DevOps paradigm emphasizes the need for a measurable feedback loop, starting from requirements and going as far as deployment in an automated way. In this context, a modelling challenge is to leverage the existing requirement engineering approaches to support measurements. Unfortunately, measurement methods are slow and costly by definition, preventing precisely measured requirements from being used in the DevOps loop. As a result, developers have to deal with grossly estimated elements, e.g., using story points promoted by agile methods. Thus, it is not possible to provide better support for the development team. We envision taking advantage of the artifacts that already exist in a DevOps context to provide better support for requirements measurement, making it available in an automated context such as the DevOps one. This paper focuses on the automated analysis of acceptance tests (e.g., expressed using the Gherkin language) to support functional measurement automation in a DevOps context. This proposition is illustrated by a scenario coming from an industrial partner, supporting the identification of four research challenges to be tackled.

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Section: Related Workmentioning

confidence: 99%

Towards Modelling Acceptance Tests as a Support for Software Measurement

Lapointe-Boisvert

Mosser

Trudel

2021

2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)

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“…Estimate the effort and based on this, calculate, precisely the cost of [9], [10], facilitating the next steps in implementing a project.…”

Section: B Project Management Softwarementioning

confidence: 99%

Improve Tracking in the Software Development Projects

Cuadrado-Garcia¹,

Cuadrado-Gallego²,

Herranz-Martinez³

et al. 2011

2011 Joint Conference of the 21st International Workshop on Software Measurement and the 6th International Conference on Softwa

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A proper planning is one of the main issues the success of a software project lies on. However, a perfect planning is not useful without monitoring sufficiently, which involves not only controlling that the activities and expected costs are being met properly, but also having the ability to anticipate the impact that deviations from the plan will have on the future development of the project.Monitoring methods that can be found in literature, can obtain stationary photos of the status of a project at any given time of its evolution. They also allow planning which will be the result in costs terms and final project time obtained from these stages points, though they do not tell us how the project will evolve from the time when we are auditing to completion.By using the family of curves called sigmoidal or S curves, parameterized properly and using monitoring technique EVM (Earned Value Management), the project evolution is mathematically modeled as a continuous function, which allows not only getting a picture of it but also a movie that show the full evolution to its final draft.In order to validate the proposed function, show will use a set of projects in the area of software development with different characteristics that allow the proposal address to face up to a wide variety of situations. All these projects come from the real worldwide, and we proceed with two experiments these projects come to validate the proposals of the paper.

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Functional Size Measurement and Model Verification for Software Model-Driven Developments: A COSMIC-based Approach

Cited by 2 publications

References 66 publications

Towards Modelling Acceptance Tests as a Support for Software Measurement

Towards Modelling Acceptance Tests as a Support for Software Measurement

Improve Tracking in the Software Development Projects

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