An advanced collaborative environment for software development

Wanderley, Gregory Moro Puppi; Abel, Marie‐Hélène; Barthès, Jean-Paul; Paraíso, Emerson Cabrera

doi:10.1109/smc.2016.7844683

Cited by 5 publications

(5 citation statements)

References 22 publications

(27 reference statements)

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“…During software development, team members use several different systems and tools. At the same time, they need to pay attention to the quality of the code being developed (Wanderley et al [11]). Because the systems used by team members, including the ones to measure the code quality, are not integrated, it is difficult to use all of them at the same time and share information among systems and participants.…”

Section: A Collaborative Software Development Scenariomentioning

confidence: 99%

“…The steps of the "Act Proactively" activity of the ProPA method for adding proactive behavior to the personal assistants of vocal interfaces. and thresholds related to quality metrics (Wanderley et al [11]) measuring the quality of the code of her projects. The output of this step is the ontology updated with the user's scores.…”

Section: B Adding Proactive Behavior To the Vocal Interfacesmentioning

confidence: 99%

“…For other systems of our scenario, the versioning system was GitHub 4 . The analysis system was a multi-agent system applying rules based on quality metrics (Wanderley et al [11]) to compute the quality of the produced Java code.…”

Section: A Implementationmentioning

confidence: 99%

See 2 more Smart Citations

Designing Proactive Interfaces for Cooperation using Systems of Systems

Wanderley

Abel

Paraíso

2018

2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD))

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Cooperation is a fundamental trait of Systems of Systems (SoS). In this paper we discuss the design and implementation of proactive vocal interfaces with the goal of improving and stimulating cooperation between users and constituent systems. Our approach is based on intelligent personal assistants displaying proactive behavior and capable of interacting vocally. The paper discusses the main challenges for integrating proactive behavior into SoS interfaces, as well as for using them. The proposed approach is generic and can be applied to different domains.

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Section: A Collaborative Software Development Scenariomentioning

confidence: 99%

Section: B Adding Proactive Behavior To the Vocal Interfacesmentioning

confidence: 99%

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Designing Proactive Interfaces for Cooperation using Systems of Systems

Wanderley

Abel

Paraíso

2018

2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD))

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“…In order to support decision-making in collaborative software development, we applied our architecture intending to improve the quality of the code produced by developers. Following, we explain the approach based on what we proposed in Wanderley et al [11].…”

Section: Metrics Mccabe's Cyclomatic Complexity Metric -Mcc [12]mentioning

confidence: 99%

“…The prototype is based on our ACE4SD system (Wanderley et al [11]). It shows the point of view of the developers and managers.…”

Section: Prototypementioning

confidence: 99%

A system of systems architecture for supporting decision-making

Wanderley¹,

Abel²,

Barthès³

et al. 2017

2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD)

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Good Decision Support Systems require three main features: (i) a good handling of the domain data and information; (ii) an efficient user interface; and (iii) a good knowledge of past decisions. Usually such features are handled by different specialized systems difficult to integrate. In this research we keep specialized systems independent, focusing on interoperability. We propose a system of systems architecture (SoS) integrating a domain system in which users interact, a multi-agent system implementing an efficient user interface and taking into account results from the domain system, and a platform to capitalize and manage knowledge. Our approach extracts indicators from the interaction or behavior of users within the domain system, and provides them analyses, statistics and recommendations to help them reach good decisions. We built a prototype and applied it to two different domains: collaborative software development and healthcare. In this paper, we will focus on the multi-agent system which is a key component of the SoS architecture.

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