Concurrency: State Models and Java Programs by Jeff Kramer, Jeff Magee

By Jeff Kramer, Jeff Magee

Concurrency offers a completely updated approach to the fundamental thoughts and methods in the back of concurrent programming. Concurrent programming is advanced and calls for a way more formal strategy than sequential programming. with the intention to boost an intensive figuring out of the topic Magee and Kramer current strategies, options and difficulties via a number of types: casual descriptions, illustrative examples, summary types and urban Java examples. those combine to offer challenge styles and linked answer techniques which enable students to recognise difficulties and arrive at solutions.
New positive factors include:* New chapters masking software verification and logical properties.* extra pupil exercises.* helping site comprises an up-to-date model of the LTSA device for modelling concurrency, version animation, and version checking.* web site additionally comprises the total set of nation versions, java examples, and demonstration courses and a entire set of overhead slides for direction presentation.

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Extra resources for Concurrency: State Models and Java Programs

Example text

Suppose some method m1 takes a Function1 argument. What would happen if you passed an instance f1 of type Func tion1 to m1? In Java, how could you change the declaration of m1 so that the compiler would allow you to pass f1 to it? Why would that be a valid thing to do, at least from the perspective of “safe typing”? b. Considering the same method m1, suppose you wanted to pass a function f2 of type Function1 to m1? How could you change the declaration of m1 so that the compiler would allows you to pass f2 to it?

That’s useful, but there is a better way. Interest in Domain-Specific Languages is another recent, popular trend (see, for example, [Ghosh2011a] and [Ghosh2011b]). DSLs try to capture the idiomatic language used by domain experts directly in the code. You can implement DSLs in both objectoriented and functional languages. Some languages provide better support for custom DSL syntax than others. Back to our example, it can be useful to represent a domain with a DSL at the upper levels of abstraction, but questionable to create explicit object representations under this surface.

Notice that algebraic data types are making the same kinds of assertions about types themselves, imposing a rigor that helps us think about allowed representations of state and transitions from an instance representing one state to an instance representing another state. put("Scala" , "Hybrid Object-Functional"); Maps don’t make good algebraic data types, because the value of defining an “empty” vs. a “non-empty” type (or similar decomposition) is less useful. In part, this reflects the fact that the “obvious” implementation of List is strongly implied by the head and tail design.

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