By Benjamin C. Pierce
The learn of kind structures for programming languages now touches many parts of computing device technological know-how, from language layout and implementation to software program engineering, community safety, databases, and research of concurrent and allotted structures. This booklet bargains obtainable introductions to key principles within the box, with contributions through specialists on each one topic.
The issues coated comprise special sort analyses, which expand uncomplicated style platforms to provide them a greater grip at the run time habit of platforms; sort structures for low-level languages; functions of sorts to reasoning approximately desktop courses; sort conception as a framework for the layout of subtle module platforms; and complex options in ML-style sort inference.
Advanced themes in kinds and Programming Languages builds on Benjamin Pierce's varieties and Programming Languages (MIT Press, 2002); many of the chapters might be available to readers accustomed to uncomplicated notations and strategies of operational semantics and sort structures -- the fabric lined within the first 1/2 the sooner book.
Advanced themes in varieties and Programming Languages can be utilized within the school room and as a source for pros. so much chapters contain routines, ranging in trouble from fast comprehension assessments to demanding extensions, many with solutions.
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Extra info for Advanced Topics in Types and Programming Languages
Although often shunned as a bad practice, this code cloning is to a certain extent inevitable, either because of the pragmatics of software maintenance or inadequate abstraction mechanisms in the representation language. This chapter discusses a purely text-based approach to clone detection. Since the approach does not rely on the extraction of a syntax tree to capture the surface semantics of the code, it is in particular suitable for legacy systems where parsers may not be readily available. It both contrasts and complements the approach used in the empirical study of Chapter 5.
Predictions on individual components can then be aggregated to 2. Object-Oriented Metrics: A Review of Theory and Practice 25 give overall system level predictions. , 2001). This is an example of using predictions of fault-proneness for each class to draw conclusions about the overall quality of a system. One can also build prediction models of the total number of faults and fault density (Evanco, 1997). Similarly, another study used object-oriented metrics to predict the effort to develop each class, and these were then aggregated to produce an overall estimate of the whole system's development cost (Briand and Wuest, 1999).
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Advanced Topics in Types and Programming Languages by Benjamin C. Pierce