1,721,009 research outputs found
Micro pattern fault-proneness
No full textOne of the goals of Software Engineering is to reduce, or at least to try to control, the defectiveness of software systems during the development phase. The aim of our study is to analyze the relationship between micro patterns (introduced by Gil and Maman) and faults in a software system. Micro patterns are similar to design patterns, but their characteristic is that they can be identified automatically, and are at a lower level of abstraction with respect to design patterns. Our study aims to show, through empirical studies of open source software systems, which categories of micro patterns are more correlated to faults. Gil and Maman demonstrated, and subsequent studies confirmed, that 75% of the classes of a software system are covered by micro patterns. In our study we also analyze the relationship between faults and the remaining 25% of classes that do not match with any micro pattern. We found that these classes are more likely to be fault-prone than the others. We also studied the correlation among all the micro patterns of the catalog, in order to verify the existence of relationships between them. © 2012 IEEE
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
New generation of software metrics
Full text linkSoftware measurement has always been an issue in software engineering. On one hand, engineering is about designing and building things and modeling, characterizing, monitoring, evaluating, defining, predicting, “prescripting”,
controlling, and changing processes and their artifacts; additionally, measurement is essential to verify that the built artifacts comply with their requirements, to validate the product built versus its requirements and design and to keep the production process in control; the old management
adage “you can’t manage what you don’t measure” is valid also in software development. On the other hand, because
software is nonmaterial, it is a very difficult beast to measure. The compliance with requirements, which can vary greatly from system to system even in the same domain, is something difficult to “measure”, and it is almost impossible to devise metrics able to support such a measure that is
repeatable across different systems. The development effort is perhaps easier to estimate and define across different software technologies and domains—after all it is always
a matter of money—but it is still very difficult to measure in the ever changing languages, environments, and
technologies.
The difficulty of measuring software is even more critical in present times due to the increasing size and criticality of software within all technological systems, and the frequent changes in architectural paradigms and process models. New development methods, such as agile and lean approaches, the
large diffusion of Open Source Software (OSS) products, service oriented architectures, cloud computing and softwareas-a-service business models, offshore development, ubiquitous
computing, and the increasing integration of software and systems engineering, are examples of how software engineering is coping with the growing complexity of software and its applications. In this scenario, we need even more to be able to measure software products, processes, and competencies.
To this purpose, radically new approaches, methods, and tools are being proposed in the software metrics field.
Whereas it is too early to talk of breakthrough innovations and of definitive or also acceptable solutions for the abovecited issues, progress is being made in some interesting directions.
Among these, we may mention software product and process metrics derived from complex network theory and
in general from theoretical physics studies; social network analysis applied to software products and to developers’ relationships; measurement of size, effort, and quality of software developed in innovative ways, such as using agile and lean methodologies and open source projects; new metrics for service-oriented architectures and software-as-a
service.
This special issue presents new and relevant research work along these directions
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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