Adding speech recognition support to UML tools

Lahtinen, Samuel; Peltonen, Jari

doi:10.1016/j.jvlc.2004.08.001

Cited by 10 publications

(12 citation statements)

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“…In this study was presented DiSEN-CollaborAR, an approach that supports the dissemination of information about the software artifacts (Lahtinen and Peltonen, 2005). This approach helps to improve communication and coordination among distributed teams and thus reduce ambiguities in software artifacts.…”

Section: Resultsmentioning

confidence: 99%

“…An assessment of DiSEN-CollaborAR approach is presented, using ACAS prototype tool by Lahtinen and Peltonen (2005), which help individuals in carrying out tasks, by providing resources to support the context awareness on software artifacts. Thus, it was possible to realize a controlled experiment in the laboratory and then collect and analyze the data.…”

Section: Resultsmentioning

confidence: 99%

“…An essential tool to support software development with distributed teams is the Version Control System (VCS), which allows developers to contribute throughout the project development by sharing resources and also code merging (Alwis and Sillito, 2009). Another important tool for software projects is a Computer Aided Software Engineering tool (CASE), which supports the construction, manipulation and presentation of models such as Unified Modeling Language diagrams (UML) (Lahtinen and Peltonen, 2005).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improving Coordination and Communication in Distributed Software Development through Context-Based Software Artifacts Awareness: A Controlled Experiment

Vivian

Huzita

Balancieri

et al. 2018

Journal of Computer Science

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improving Coordination and Communication in Distributed Software Development through Context-Based Software Artifacts Awareness: A Controlled Experiment

Vivian

Huzita

Balancieri

et al. 2018

Journal of Computer Science

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show abstract

“…inconsistencies with requirement documents [11]. Lahtinen and Peltonen complement UML tools with a speech interface such that the conceptual models can be easily edited via spoken language [50]. In some cases the extraction of the conceptual models is only an intermediate step: Tseng and Chen propose a methodology for mapping natural language constructs into SQL statements via the inference of UML class diagrams [82].…”

Section: State Of the Artmentioning

confidence: 99%

Detection of naming convention violations in process models for different languages

Leopold

Eid-Sabbagh

Mendling

et al. 2013

Decision Support Systems

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Companies increasingly use business process modeling for documenting and redesigning their operations.However, due to the size of such modeling initiatives, they often struggle with the quality assurance of their model collections. While many model properties can already be checked automatically, there is a notable gap of techniques for checking linguistic aspects such as naming conventions of process model elements. In this paper, we address this problem by introducing an automatic technique for detecting violations of naming conventions. This technique is based on text corpora and independent of linguistic resources such as WordNet.Therefore, it can be easily adapted to the broad set of languages for which corpora exist. We demonstrate the applicability of the technique by analyzing nine process model collections from practice, including over 27,000 labels and covering three di↵erent languages. The results of the evaluation show that our technique yields stable results and can reliably deal with ambiguous cases. In this way, this paper provides an important contribution to the field of automated quality assurance of conceptual models.

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“…Popular VCS include Mercurial 1 , Git 2 , Subversion 3 , and others. The second one supports the construction, manipulation and presentation of models such as UML (Unified Modeling Language) diagrams [5]. Popular UML CASE Tools include ArgoUML 4 , Astah 5 , MagicDraw 6 , and others.…”

Section: Introductionmentioning

confidence: 99%

Supporting distributed software development through context awareness on software artifacts

Vivian

Huzita

Leal

2013

Proceedings of the 28th Annual ACM Symposium on Applied Computing

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Source code and class diagram are artifacts produced or updated during software development. However, when the scenario in which teams are distributed is considered, the temporal and geographical distances among individuals affect communication, creating inconsistencies and ambiguities about the software artifacts. These problems can be minimized by sharing contextual information of actions that occur on cooperation objects. This paper presents the DiSEN-CollaborAR, an approach to deal with context awareness on software artifacts. It provides resources to communicate what individuals have done over the software artifacts. This is possible by capturing contextual information that is represented, stored, processed and displayed. So, awareness elements, artifact context and traceability among software artifacts contribute to increase the understanding of the software artifacts and also the collaboration among distributed teams.

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Adding speech recognition support to UML tools

Cited by 10 publications

References 30 publications

Improving Coordination and Communication in Distributed Software Development through Context-Based Software Artifacts Awareness: A Controlled Experiment

Improving Coordination and Communication in Distributed Software Development through Context-Based Software Artifacts Awareness: A Controlled Experiment

Detection of naming convention violations in process models for different languages

Supporting distributed software development through context awareness on software artifacts

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