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Empirical studies in software engineering frequently rely on correlation data in an effort to demonstrate that a process or tool affects an important or meaningful outcome, with the ultimate goal of improving software engineering practice. But all students of statistics know that "correlation does not imply causation," and so causal conclusions (using traditional methods) from observational...
Naming is a non-optional and cross-cutting design decision in professional and end-user programming activities. From assembly language to Yahoo Pipes, names are utilized for labeling and differentiation. Yet, we know little about how these names are selected or how naming impacts use and other aspects of design. My research goal is to develop a theory of application programming interface (API) naming...
This paper puts forward a new method (Cost Assessment of the inter-Project Dependence with Correlation Right algorithm) for quantitative analysis to the dependence of inter-project. It is a good guide for the project development and implementation. It can make a great help for program designer, programmer, and program users to analyze the special project. It provides a quantitative value; and with...
Large, unwieldy classes are a significant maintenance problem. Programmers dislike them because the fundamental logic is often obscured, making them hard to understand and modify. This paper proposes a solution - a semi-automatic technique for splitting large classes into smaller, more cohesive ones. The core of the technique is the use of betweenness clustering to identify the best way of partitioning...
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