Publications

Export 9 results:
Sort by: Author [ Title  (Desc)] Type Year
A B C D E F G H [I] J K L M N O P Q R S T U V W X Y Z   [Show ALL]
I
Machado, R., M. Goulão, F. B. e Abreu, and J. Pascoal Faria, "Introduction to Special Issue: Quality in Information and Communications Technology", Innovations in Systems and Software Engineering, vol. 10, issue 1, pp. 1-2, 2014. machado2014isse.pdfWebsite
Barišić, A., V. Amaral, M. Goulão, and A. Aguiar, "Introducing usability concerns early in the DSL development cycle: FlowSL experience report", Model-Driven Development Processes and Practices Workshop Proceedings, MD2P2 2014, Valencia, Spain, September, 2014. Abstractflowslmodelsdraft.pdf

Domain-Specific Languages (DSLs) developers aim to narrow the gap between the level of abstraction used by domain users and the one provided by the DSL, in order to help taming the increased complexity of computer systems and real-world problems. The quality in use of a DSL is essential for its successful adoption. We illustrate how a usability evaluation process can be weaved into the development process of a concrete DSL - FlowSL - used for specifying humanitarian campaign processes lead by an international Non-Governmental Organization. FlowSL is being developed following an agile process using Model-Driven Development (MDD) tools, to cope with vague and poorly understood requirements in the beginning of the development process.

Sabino, A., Armanda Rodrigues, M. Goulão, and J. Gouveia, "Indirect Keyword Recommendation", International Conference on Intelligent Agent Technology, WIC 2014, Warsaw, Poland, IEEE/WIC/ACM, 11-14 August, 2014. Abstractsabino2014wic.pdf

Helping users to find useful contacts or potentially interesting subjects is a challenge for social and productive
networks. The evidence of the content produced by users must be considered in this task, which may be simplified by the use of the meta-data associated with the content, i.e., the categorization supported by the network – descriptive keywords, or tags. In this paper we present a model that enables keyword discovery
methods through the interpretation of the network as a graph, solely relying on keywords that categorize or describe productive items. The model and keyword discovery methods presented in this paper avoid content analysis, and move towards a generic approach to the identification of relevant interests and, eventually,
contacts. The evaluation of the model and methods is executed by two experiments that perform frequency and classification analyses over the Flickr network. The results show that we can efficiently recommend keywords to users.

Goulão, M., and F. B. Abreu, "Independent validation of a component metrics suite", 8th International Workshop on Quantitative Approaches in Object-Oriented Software Engineering (QAOOSE'2004), Oslo, Norway, 2004. Abstract

n/a

n/a
Santos, J. P., A. Moreira, J. Araújo, and M. Goulão, "Increasing Quality in Scenario Modelling with Model-Driven Development", 7th International Conference on the Quality of Information and Communications Technology (QUATIC'2010), Porto, Portugal, IEEE Computer Society, pp. 204-209, 29 Sep.-2 Oct., 2010. Abstract

http://dx.doi.org/10.1109/QUATIC.2010.36

santos_et_al_quatic2010.pdf

Models, with different levels of detail, share similar abstractions that can be reused by means of model-driven techniques such as transformations. For example, scenarios are a well-known technique in requirements engineering to represent behavioral flows in a software system. When using UML, scenarios are typically represented with activity models in the early stages of software development, while sequence models are used to describe more detailed object interactions as modeling progresses. This paper defines transformation rules to automate the migration from activity to sequence models. We present a case study illustrating the application of our transformation rules. Our preliminary assessment of the impact of the benefits of using these transformations points to: (i) a reduction of around 50% in the effort building sequence models, (ii) increased trace ability among models, and (iii) error prevention when migrating from different scenario notations.

Goulão, M., A. S. Monteiro, N. P. Ribeiro, A. B. Almeida, F. B. Abreu, and P. Sousa, III Relatório de Actividades do Protocolo Marinha Portuguesa / INESC, : DAMAG / INESC, 1999. Abstract

n/a

n/a
Goulão, M., A. S. Monteiro, J. F. Martins, N. P. Ribeiro, A. B. Almeida, F. B. Abreu, and P. Sousa, II Relatório de Actividades do Protocolo Marinha Portuguesa / INESC, : DAMAG / INESC, 1998. Abstract

n/a

n/a
Gralha, C., M. Goulão, and J. Araújo, "Identifying modularity improvement opportunities in goal-oriented requirements models", 26th International Conference on Advanced Information Systems Engineering, CAiSE 2014, Thessaloniki, Greece, 16-20 Jun., 2014. Abstract

Goal-oriented Requirements Engineering approaches have become popular in the Requirements Engineering community as they provide expressive model elements for requirements elicitation and analysis. However, as a common challenge, they are still struggling when it comes to managing the accidental complexity of their models. In this paper, we provide a set of metrics, which are formally specified and have tool support, to measure and analyze the complexity of goal models, in particular i* models. The aim is to identify refactoring opportunities to improve the modularity of those models, and consequently reduce their complexity. We evaluate these metrics by applying them to a set of well-known case studies from industry and academia. Our results allow the identification of refactoring opportunities in the evaluated models.

Goulão, M., A. S. Monteiro, N. P. Ribeiro, A. B. Almeida, F. B. Abreu, and P. Sousa, I Relatório de Actividades do Protocolo Marinha Portuguesa / INESC, : DAMAG / INESC, 1997. Abstract

n/a

n/a