William W. Agresti

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Teenage driving and associated accidents have been thoroughly studied. With the graying of our population in the United States, a focus on senior drivers and related accidents is needed. Unfortunately, there is not one comprehensive study that reviews the major existing studies conducted on senior drivers and accidents. In examining the literature, it also(More)
T he Great Data Famine! I recall shuddering when I read that 1970s prediction, with its specter of “millions of computers fighting for the same small piece of data, like savages” [2]. We all prayed the proposed data manufacturing plants would stave off the lean times sure to come. Today, our data silos are overflowing. We find new ways to grind every human(More)
This will not be another story about how software engineering is "just like" performing brain surgery or building a car. I have never been strongly persuaded by these analogies. My claim is more modest: that there is something useful to adapt from industrial engineering (I.E.). The tools and techniques which are associated with the professional practice of(More)
Cybersecurity was the topic in this paper. The author mention that advancing cybersecurity begins by recognizing all its aspects as a vector quantity with four distinct forces shaping its evolution. Rebranding exercise, organizational imperative, cyberspace domain, national defense priority were the forces mentioned and discussed.
Reusing programs and other artifacts has been shown to be an effective strategy for significant reduction of development costs. This article reports on a survey of 128 developers to explore their experiences and perceptions about using other people’s code: to what extent does the “not invented here” attitude exist? The survey was structured around a novel(More)
This paper presents a fault prediction model using reliability relevant software metrics and fuzzy inference system. For this a new approach is discussed to develop fuzzy profile of software metrics which are more relevant for software fault prediction. The proposed model predicts the fault density at the end of each phase of software development using(More)
Results of an empirical study of software design practices in one specific environment are reported. The practices examined affect module size, module strength, data coupling, descendant span, unreferenced variables, and software reuse. Measures characteristic of these practices were extracted from 887 Fortran modules developed for five flight dynamics(More)