Towards an Open Source Stack to Create a Unified Data Source for Software Analysis and Visualization

Müller, Richard; Mahler, Dirk; Hunger, Michael; Nerche, Jens; Harrer, Markus

doi:10.29007/kcfq

Cited by 9 publications

(4 citation statements)

References 9 publications

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“…Our approach was to build a complete program graph based on a carefully simplified structure and leaving aside presentation. Müller et al [30] have a similar approach, based on Neo4j [4] and jQAssistant [3]. However jQAssistant does not feed the graph with the content of the methods, making it impossible to compute low-level metrics.…”

Section: Discussionmentioning

confidence: 99%

Building an Operable Graph Representation of a Java Program as a Basis for Automatic Software Maintainability Analysis

Bertrand

Favier

André

2022

The International Conference on Evaluation and Assessment in Software Engineering 2022

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As a part of a research project concerning software maintainability assessment in collaboration with the development team, we were interested in the frequent use of metrics as predictors. Many metrics exist, often with opaque and arguable implementations. We claim metrics mix the assessment of presentation, structure and model. In order to focus on true detectable maintainability defects, we computed metrics solely based on the structure of the program. Our approach was to parse the source code of Java programs as a graph, and to compute metrics in a declarative query language. To this end, we developed Javanalyser and implemented 34 metrics using Spoon to parse Java programs and Neo4j as graph database. We will show that the program graph constitutes a steady basis to compute met-rics and conduct future machine-learning studies to assess maintainability.

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Section: Discussionmentioning

confidence: 99%

Building an Operable Graph Representation of a Java Program as a Basis for Automatic Software Maintainability Analysis

Bertrand

Favier

André

2022

The International Conference on Evaluation and Assessment in Software Engineering 2022

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“…Para responder a primeira questão investigativa foi realizado uma revisão da literatura durante o mês de outubro de 2021 utilizando a plataforma Google Acadêmico, a qual inclui artigos de diversas bases, e.g., IEEE Xplore ( [Tallat et al 2019], [Müller et al 2018]) e base Scopus ([García del Valle et al 2021], [Yokoyama et al 2021], [Carnaz et al 2021], [Bukhari et al 2021], [Zahoránszky-Kőhalmi et al 2020]), somente citando alguns trabalhos recentes. As strings de busca Visualization, Neo4j, Social Networks foram utilizadas considerando o período de 2015 a 2021.…”

Section: Trabalhos Relacionadosunclassified

Visualização 3D para Bancos de Dados Orientados a Grafos: Um Estudo de Caso Utilizando Redes Sociais

Lemos

Ralha

2022

Anais Estendidos Do XXXVII Simpósio Brasileiro De Banco De Dados (SBBD Estendido 2022)

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Um conhecido desafio da comunidade de banco de dados orientado a grafos inclui aspectos de visualização para viabilizar a compreensão quantitativa e qualitativa da informação. Desta forma, o objetivo deste trabalho é aplicar técnicas de visualização 3D para bancos de dados online Neo4J. Técnicas de visualização 3D têm demonstrado utilidade para minimizar o problema da oclusão de dados, além de viabilizar uma maior interatividade do usuário. A ferramenta Graph2Vis com visualização 3D foi implementado com o framework Angular e a biblioteca 3d-force-graph. Um estudo de caso utilizando redes sociais formada por cinco programas de pós-graduação em Computação vinculados a universidades brasileiras ilustra o uso do Graph2Vis.

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“…We use the graph database NEO4J in the repository, as graph databases are suitable choices for semantic queries, due to its nature of interconnected data. To convert the source 1 code into a graph in NEO4J, we use the Open Source tool JQASSISTANT [3], [4]. The NLU Service in the conversational services uses RASA NLU [1] to detect intents and entities.…”

Section: Current Implementationmentioning

confidence: 99%

Adopting Conversational Interfaces for Exploring OSGi-Based Software Architectures in Augmented Reality

Seipel

Stock

Santhanam

et al. 2019

2019 IEEE/ACM 1st International Workshop on Bots in Software Engineering (BotSE)

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We propose conversational interfaces as a convenient and complementary way for users to explore OSGi-based software architectures in immersive Augmented Reality (AR). By providing a conversational interface we aim to remedy some peculiarities of AR devices, but also enhancing the exploration task at hand. We exemplify a use case and sketch how different user utterances can be used to retrieve information about the to-be-explored OSGi-based software architecture. We identify crucial components such as natural language generation and intent recognition which are required to implement the user story and we outline the status of our implementation.

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Towards an Open Source Stack to Create a Unified Data Source for Software Analysis and Visualization

Cited by 9 publications

References 9 publications

Building an Operable Graph Representation of a Java Program as a Basis for Automatic Software Maintainability Analysis

Building an Operable Graph Representation of a Java Program as a Basis for Automatic Software Maintainability Analysis

Visualização 3D para Bancos de Dados Orientados a Grafos: Um Estudo de Caso Utilizando Redes Sociais

Adopting Conversational Interfaces for Exploring OSGi-Based Software Architectures in Augmented Reality

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