1,720,964 research outputs found
Process Diversity and how Practitioners Can Manage It
Since IT projects are unique regarding their combination of specific goals, technologies in use, and
characteristics, providing ‘general’ processes it is not an effective solution. Instead effective and efficient
processes custom tailored to a project and based on experience collected during past projects execution are
required. This is in contrast with the industry practices where reuse-oriented process descriptions and goaloriented
planning are often missing. Usually a process can undergo a certain numbers of modifications, due
to the different operative contexts in which it is executed. The modifications generate many different versions
of the process, named specialized processes. Each one of these must be managed properly in order to govern
a just evolution consistently with all the others. Considered the dimension of the actual scenarios,
maintaining all the processes and their specialized versions is not a trivial task. We have defined a process
pattern based framework to accomplish this purpose. In this paper we present the framework, that we are
realizing with an Italian enterprise, and an explanatory case study we are developing within the Research
Centre on Software Technology in Bari, Italy
Full Reuse Maintenance Process for Reducing Software Degradation
It is known that during maintenance activities system quality tends to degrade. This work presents a field investigation carried out on two industrial projects with the aim of comparing the effectiveness of the 'full reuse" maintenance process with an "iterative enhancement" one. The results of the work confirm the greater effectiveness of the first process in slowing down the degradation of software quality. Furthermore, through the analysis of both process and product metrics, we show that monitoring maintenance performances is a poor indicator of system quality degradation. In fact, when the reduction of maintenance performance becomes large, quality has degraded considerably and to a point that ordinary maintenance may no longer be considered
A Decision model supporting cooperative work as an experience package
Subcontracting is one of the challenges modern software engineering must face. The need for decision models that guide software engineers in identifying when it is advisable and how to divide a contract, let alone, which risks it involves and which actions should be adopted to control them, is continuously increasing. Many researchers have proposed and experimented these decision models from various viewpoints. We feel the need for a method able to merge and formalize these experiences in order for them to be reused by the entire community. This work presents an approach for formalizing such experience. It also proposes a decision model for dividing a contract according to its characteristics and to the cooperating organizations. This decision model, together with others present in literature, have been integrated and formalized in an experience package
Towards a Maintenance Process that Reduces Software Quality Degradation Thanks to Full Reuse
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Variations on the Author
“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
We 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
We 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
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