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Goulão, M., N. Fonte, M. Wermelinger, and F. B. Abreu, "Software Evolution Prediction Using Seasonal Time Analysis: a Comparative Study", 16th European Conference on Software Maintenance and Reengineering (CSMR 2012), Szeged, Hungary, IEEE Computer Society, 30 Mar., 2012. Abstract

http://doi.ieeecomputersociety.org/10.1109/CSMR.2012.30

goulao2012csmr.pdf

Prediction models of software change requests are useful for supporting rational and timely resource
allocation to the evolution process. In this paper we use a time series forecasting model to predict software
maintenance and evolution requests in an open source software project (Eclipse), as an example of projects with seasonal release cycles. We build an ARIMA model based on data collected from Eclipse’s change request tracking system since the project’s start. A change request may refer to defects found in the software, but also to suggested improvements in the system under scrutiny. Our model includes the identification of seasonal patterns and tendencies, and is validated through the forecast of the change requests evolution for the next 12 months. The usage of seasonal information significantly improves the estimation ability of this model, when compared to other ARIMA models found in the literature, and does so for a much longer estimation period. Being able to accurately forecast the change requests’ evolution over a fairly long time period is an important ability for enabling adequate process control in maintenance activities, and facilitates
effort estimation and timely resources allocation. The approach presented in this paper is suitable for projects with a relatively long history, as the model building process relies on historic data.

Goulão, M., and F. B. Abreu, "Validação Cruzada de Métricas para Componentes", IEEE Transactions Latin America, vol. 3, no. 1, 2005. Abstract

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Goulão, M., and F. B. Abreu, "Software Components Evaluation: an Overview", 5ª Conferência da APSI (CAPSI 2004), Lisbon, 2004. Abstract

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Goulão, M., and F. B. Abreu, "Cross-Validation of a Component Metrics Suite", IX Jornadas de Ingeniería del Software y Bases de Datos (JISBD'2004), Malaga, Spain, 2004. Abstract

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Goulão, M., and F. B. Abreu, "The quest for software components quality", 26th Annual International Computer Software and Applications Conference (COMPSAC 2002), Oxford, England, IEEE Computer Society, pp. 313-318, 2002. Abstract

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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

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Goulão, M., "CBSE: a Quantitative Approach", ECOOP Doctoral Symposium, Darmstadt, Germany, 2003. Abstract

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Goulão, M., A. S. Monteiro, J. F. Martins, F. B. Abreu, A. B. Almeida, and P. Sousa, "A Software Evolution Experiment", European Software Control and Metrics Conference (ESCOM'98), Rome, Italy, Shakter Publishing B. V., 1998. Abstract

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Goulão, M., and F. B. Abreu, "On the Influence of Practitioners' Expertise in Component-Based Software Reviews", 10th ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering (QAOOSE'2006), Nantes, 2006. Abstract

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Goulão, M., and F. B. Abreu, "Composition assessment metrics for CBSE", Euromicro-SEAA 2005: 31st Euromicro Conference on Software Engineering and Advanced Applications, Porto, Portugal, IEEE Computer Society, pp. 96-103, 2005. Abstract

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Goulão, M., and F. B. Abreu, "Formalizing Metrics for COTS", International Workshop on Models and Processess for the Evaluation of COTS Components (MPEC 2004) at ICSE 2004, Edimburgh, Scotland, IEE, pp. 37-40, 2004. Abstract

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Goulão, M., and S. Matalonga, "Experimental Software Engineering Latin America Workshop (ESELAW 2015)", CIbSE 2015, Lima, Peru, 2015.
Goulão, M., and F. B. Abreu, "Towards a Components Quality Model", Work in Progress Session of the 28th Euromicro Conference (Euromicro 2002), Dortmund, Germany, 2002. Abstract

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Goulão, M., A. Moreira, J. Araújo, and J. P. Santos, "Streamlining scenario modeling with Model-Driven Development: a case study", Model-Driven Requirements Engineering Workshop (MoDRE 2011), at the 19th International Requirements Engineering Conference (RE 2011), Trento, Italy, IEEE Computer Society, pp. 55-63, 29 Aug., 2011. Abstract

http://dx.doi.org/10.1109/MoDRE.2011.6045367

modre2011-cameraready.pdf

Scenario modeling can be realized through different perspectives. In UML, scenarios are often modeled with activity models, in an early stage of development. Later, sequence diagrams are used to detail object interactions. The migration from activity diagrams to sequence diagrams is a repetitive and error-prone task. Model-Driven Development (MDD) can help streamlining this process, through transformation rules. Since the information in the activity model is insufficient to generate the corresponding complete sequence model, manual refinements are required. Our goal is to compare the relative effort of building the sequence diagrams manually with that of building them semi-automatically. Our results show a decrease in the number of operations required to build and refine the sequence model of approximately 64% when using MDD, when compared to the manual approach.

Goulão, M., "Component-Based Software Engineering: a Quantitative Approach", Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Universidade Nova de Lisboa, 2008. Abstract

http://run.unl.pt/handle/10362/1883

tese.pdf

Background: Often, claims in Component-Based Development (CBD) are only sup-
ported by qualitative expert opinion, rather than by quantitative data. This contrasts
with the normal practice in other sciences, where a sound experimental validation of
claims is standard practice. Experimental Software Engineering (ESE) aims to bridge
this gap. Unfortunately, it is common to find experimental validation efforts that are
hard to replicate and compare, to build up the body of knowledge in CBD.


Objectives:
In this dissertation our goals are (i) to contribute to evolution of ESE, in
what concerns the replicability and comparability of experimental work, and (ii) to ap-
ply our proposals to CBD, thus contributing to its deeper and sounder understanding.


Techniques:
We propose a process model for ESE, aligned with current experimen-
tal best practices, and combine this model with a measurement technique called
Ontology-Driven Measurement (ODM). ODM is aimed at improving the state of prac-
tice in metrics definition and collection, by making metrics definitions formal and ex-
ecutable, without sacrificing their usability. ODM uses standard technologies that can
be well adapted to current integrated development environments.


Results:
Our contributions include the definition and preliminary validation of a pro-
cess model for ESE and the proposal of ODM for supporting metrics definition and
collection in the context of CBD. We use both the process model and ODM to perform
a series experimental works in CBD, including the cross-validation of a component
metrics set for JavaBeans, a case study on the influence of practitioners expertise in
a sub-process of component development (component code inspections), and an ob-
servational study on reusability patterns of pluggable components (Eclipse plug-ins).
These experimental works implied proposing, adapting, or selecting adequate ontolo-
gies, as well as the formal definition of metrics upon each of those ontologies.


Limitations:
Although our experimental work covers a variety of component models
and, orthogonally, both process and product, the plethora of opportunities for using
our quantitative approach to CBD is far from exhausted.


Conclusions:
The main contribution of this dissertation is the illustration, through
practical examples, of how we can combine our experimental process model with
ODM to support the experimental validation of claims in the context of CBD, in a re-
peatable and comparableway. In addition, the techniques proposed in this dissertation
are generic and can be applied to other software development paradigms.

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

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Goulão, M., and F. B. Abreu, "An overview of metrics-based approaches to support software components reusability assessment", Software Quality Measurement: Concepts and Approaches, Hyderabad, ICFAI Books, pp. 264, 2007. Abstractgoulaoabreubookchapter.pdf

Objective: To present an overview on the current state of the art concerning metrics-based
quality evaluation of software components and component assemblies.
Method: Comparison of several approaches available in the literature, using a framework
comprising several aspects, such as scope, intent, definition technique, and maturity.
Results: The identification of common shortcomings of current approaches, such as
ambiguity in definition, lack of adequacy of the specifying formalisms and insufficient
validation of current quality models and metrics for software components.
Conclusions: Quality evaluation of components and component-based infrastructures
presents new challenges to the Experimental Software Engineering community.

Goulão, M., and F. B. Abreu, "Formal Definition of Metrics upon the CORBA Component Model", First International Conference on the Quality of Software Architectures (QoSA'2005), and Proceedings of the Second International conference on Software Quality, vol. 3712, Erfurt, Germany, Springer, pp. 88-105, 2005. Abstract

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Goulão, M., V. Amaral, and M. Mernik, "Quality in model-driven engineering: a tertiary study", Software Quality Journal, vol. 24, issue 3, pp. 601-633, 2016. Abstract

http://link.springer.com/article/10.1007/s11219-016-9324-8

Website

Model-driven engineering (MDE) is believed to have a significant impact in software quality. However, researchers and practitioners may have a hard time locating consolidated evidence on this impact, as the available information is scattered in several different publications. Our goal is to aggregate consolidated findings on quality in MDE, facilitating the work of researchers and practitioners in learning about the coverage and main findings of existing work as well as identifying relatively unexplored niches of research that need further attention. We performed a tertiary study on quality in MDE, in order to gain a better understanding of its most prominent findings and existing challenges, as reported in the literature. We identified 22 systematic literature reviews and mapping studies and the most relevant quality attributes addressed by each of those studies, in the context of MDE. Maintainability is clearly the most often studied and reported quality attribute impacted by MDE. Eighty out of 83 research questions in the selected secondary studies have a structure that is more often associated with mapping existing research than with answering more concrete research questions (e.g., comparing two alternative MDE approaches with respect to their impact on a specific quality attribute). We briefly outline the main contributions of each of the selected literature reviews. In the collected studies, we observed a broad coverage of software product quality, although frequently accompanied by notes on how much more empirical research is needed to further validate existing claims. Relatively, little attention seems to be devoted to the impact of MDE on the quality in use of products developed using MDE.

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

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Goulão, M., and F. B. Abreu, "Bridging the gap between Acme and UML 2.0 for CBD", Specification and Verification of Component-Based Systems (SAVCBS'2003), at the ESEC/FSE'2003, Helsinki, Finland, 2003. Abstract

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Goulão, M., and F. B. Abreu, "From Objects to Components - A Quantitative Experiment", 6th International Workshop on Quantitative Approaches in Object-Oriented Software Engineering QAOOSE'2002, Málaga, Spain, 2002. Abstract

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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

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Gralha, C., J. Araújo, and M. Goulão, "Metrics for measuring complexity and completeness for social goal models", Information Systems, 2015. AbstractWebsite

Goal-oriented Requirements Engineering approaches have become popular in the Requirements Engineering community as they provide expressive modelling languages for requirements elicitation and analysis. However, as a common challenge, such approaches are still struggling when it comes to managing the accidental complexity of their models. Furthermore, those models might be incomplete, resulting in insufficient information for proper understanding and implementation. In this paper, we provide a set of metrics, which are formally specified and have tool support, to measure and analyse complexity and completeness of goal models, in particular social goal models (e.g. i⁎). Concerning complexity, the aim is to identify refactoring opportunities to improve the modularity of those models, and consequently reduce their accidental complexity. With respect to completeness, the goal is to automatically detect model incompleteness. We evaluate these metrics by applying them to a set of well-known system models from industry and academia. Our results suggest refactoring opportunities in the evaluated models, and provide a timely feedback mechanism for requirements engineers on how close they are to completing their models.