Eduardo Santana de Almeida

Bio: Eduardo Santana de Almeida is an academic researcher from Federal University of Bahia. The author has contributed to research in topics: Software development & Software product line. The author has an hindex of 26, co-authored 182 publications receiving 2383 citations. Previous affiliations of Eduardo Santana de Almeida include Recife Center for Advanced Studies and Systems & Federal University of Pernambuco.

A systematic mapping study of software product lines testing

Abstract: ContextIn software development, Testing is an important mechanism both to identify defects and assure that completed products work as specified. This is a common practice in single-system development, and continues to hold in Software Product Lines (SPL). Even though extensive research has been done in the SPL Testing field, it is necessary to assess the current state of research and practice, in order to provide practitioners with evidence that enable fostering its further development. ObjectiveThis paper focuses on Testing in SPL and has the following goals: investigate state-of-the-art testing practices, synthesize available evidence, and identify gaps between required techniques and existing approaches, available in the literature. MethodA systematic mapping study was conducted with a set of nine research questions, in which 120 studies, dated from 1993 to 2009, were evaluated. ResultsAlthough several aspects regarding testing have been covered by single-system development approaches, many cannot be directly applied in the SPL context due to specific issues. In addition, particular aspects regarding SPL are not covered by the existing SPL approaches, and when the aspects are covered, the literature just gives brief overviews. This scenario indicates that additional investigation, empirical and practical, should be performed. ConclusionThe results can help to understand the needs in SPL Testing, by identifying points that still require additional investigation, since important aspects regarding particular points of software product lines have not been addressed yet.

On strategies for testing software product lines: A systematic literature review

Abstract: Context: Testing plays an important role in the quality assurance process for software product line engineering. There are many opportunities for economies of scope and scale in the testing activities, but techniques that can take advantage of these opportunities are still needed. Objective: The objective of this study is to identify testing strategies that have the potential to achieve these economies, and to provide a synthesis of available research on SPL testing strategies, to be applied towards reaching higher defect detection rates and reduced quality assurance effort. Method: We performed a literature review of two hundred seventy-six studies published from the year 1998 up to the 1st semester of 2013. We used several filters to focus the review on the most relevant studies and we give detailed analyses of the core set of studies. Results: The analysis of the reported strategies comprised two fundamental aspects for software product line testing: the selection of products for testing, and the actual test of products. Our findings indicate that the literature offers a large number of techniques to cope with such aspects. However, there is a lack of reports on realistic industrial experiences, which limits the inferences that can be drawn. Conclusion: This study showed a number of leveraged strategies that can support both the selection of products, and the actual testing of products. Future research should also benefit from the problems and advantages identified in this study.

A systematic review of domain analysis tools

Abstract: The domain analysis process is used to identify and document common and variable characteristics of systems in a specific domain. In order to achieve an effective result, it is necessary to collect, organize and analyze several sources of information about different applications in this domain. Consequently, this process involves distinct phases and activities and also needs to identify which artifacts, arising from these activities, have to be traceable and consistent. In this context, performing a domain analysis process without tool support increases the risks of failure, but the used tool should support the complete process and not just a part of it. This article presents a systematic review of domain analysis tools that aims at finding out how the available tools offer support to the process. As a result, the review identified that these tools are usually focused on supporting only one process and there are still gaps in the complete process support. Furthermore, the results can provide insights for new research in the domain engineering area for investigating and defining new tools, and the study also aids in the identification of companies' needs for a domain analysis tool.

The Design and Analysis of Experiments

Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

Guidelines for snowballing in systematic literature studies and a replication in software engineering

Abstract: Background: Systematic literature studies have become common in software engineering, and hence it is important to understand how to conduct them efficiently and reliably.Objective: This paper presents guidelines for conducting literature reviews using a snowballing approach, and they are illustrated and evaluated by replicating a published systematic literature review.Method: The guidelines are based on the experience from conducting several systematic literature reviews and experimenting with different approaches.Results: The guidelines for using snowballing as a way to search for relevant literature was successfully applied to a systematic literature review.Conclusions: It is concluded that using snowballing, as a first search strategy, may very well be a good alternative to the use of database searches.

The C programming language

Abstract: This ebook is the first authorized digital version of Kernighan and Ritchie's 1988 classic, The C Programming Language (2nd Ed.). One of the best-selling programming books published in the last fifty years, "K&R" has been called everything from the "bible" to "a landmark in computer science" and it has influenced generations of programmers. Available now for all leading ebook platforms, this concise and beautifully written text is a "must-have" reference for every serious programmers digital library. As modestly described by the authors in the Preface to the First Edition, this "is not an introductory programming manual; it assumes some familiarity with basic programming concepts like variables, assignment statements, loops, and functions. Nonetheless, a novice programmer should be able to read along and pick up the language, although access to a more knowledgeable colleague will help."