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Barišić, A., V. Amaral, M. Goulão, and B. Barroca, "Evaluating the Usability of Domain-Specific Languages", Formal and Practical Aspects of Domain-Specific Languages: Recent Developments: IGI Global, 2012. Abstract

We can regard Domain-Specific Languages (DSLs) as User Interfaces (UIs) because they bridge the gap
between the domain experts and the computation platforms. Usability of DSLs by domain experts is a key
factor for their successful adoption. The few reports supporting improvement claims are persuasive, but
mostly anecdotal. Systematic literature reviews show that evidences on the effects of the introduction of
DSLs are actually very scarce. In particular, the evaluation of usability is often skipped, relaxed, or at
least omitted from papers reporting the development of DSLs. The few exceptions mostly take place at
the end of the development process, when fixing problems is already too expensive. A systematic
approach, based on techniques for the experimental evaluation of UIs, should be used to assess suitability
of new DSLs. This chapter presents a general experimental evaluation model, tailored for DSLs’
experimental evaluation, and instantiates it in several DSL’s evaluation examples.

Lima, A., M. Goulão, and M. Pessoa Monteiro, "Evidence-Based Comparison of Modularity Support Between Java and Object Teams", Empirical Evaluation of Software Composition Techniques (ESCOT 2010), at 9th International Conference on Aspect-Oriented Software Development (AOSD'2010), Rennes and Saint Malo, France, 2010. Abstract


Background: Aspect-oriented programming (AOP) is an
emerging programming paradigm whose focus is about improving
modularity, with an emphasis on the modularization of
crosscutting concerns.

Objective: The goal of this paper is to assess the extent to which
an AOP language – ObjectTeams/Java (OT/J) – improves the
modularity of a software system. This improvement has been
claimed but, to the best of our knowledge, this paper is the first
attempting to present quantitative evidence of it.

Method: We compare functionally-equivalent implementations of
the Gang-of-Four design patterns, developed in Java and OT/J,
using software metrics.

Results: The results of our comparison support the modularity
improvement claims made in the literature. For six of the seven
metrics used, the OT/J versions of the patterns obtained
significantly better results.

Limitations: This work uses a set of metrics originally defined
for object-oriented (OO) systems. It may be the case that the
metrics are biased, in that they were created in the context of OO
programming (OOP), before the advent of AOP. We consider this
comparison a stepping stone as, ultimately, we plan to assess the
modularity improvements with paradigm independent metrics,
which will conceivably eliminate the bias. Each individual
example from the sample used in this paper is small. In future, we
plan to replicate this experiment using larger systems, where the
benefits of AOP may be more noticeable.

Conclusion: This work contributes with evidence to fill gaps in
the body of quantitative results supporting alleged benefits to
software modularity brought by AOP languages, namely OT/J.

Goulão, M., and S. Matalonga, "Experimental Software Engineering Latin America Workshop (ESELAW 2015)", CIbSE 2015, Lima, Peru, 2015.
Silva, L., A. Moreira, J. Araújo, C. Gralha, M. Goulão, and V. Amaral, "Exploring Views for Goal-Oriented Requirements Models", 35th International Conference on Conceptual Modeling, ER2016, Gifu, Japan, 14-17 Nov., 2016. Abstract


Requirements documents and models need to be used by many stakeholders with di erent technological pro ciency, during software development. Each stakeholder may need to understand the entire (or simply part of the) requirements artifacts. To empower those stakeholders, views of the requirements should be con gurable to their particular needs. Information visualization techniques may help in this process. In this paper, we propose di erent views aimed at highlighting information that is relevant for a particular stakeholder, helping him to query requirements artifacts. We o er three kinds of visualization capturing language and domain elements, while providing a gradual model overview: the big picture view, the syntax-based view, and the concern-based view. We instantiate these views with i* models and introduce an implementation prototype in the iStarLab tool.