Managing documents and tracking changes has never been as quick, simple and efficient. Effectively collaborate with user-friendly task management and workflows. More videos. Java-based open code Allows your IT team to customise the system and develop additional features. Flexibility Upgrade to new versions of the system without losing existing modifications and settings. Based on the acquired experience, I projected and implemented an application called Fotoman.
The application is a front-end for an existing data mining library and allows the user to visually define the data mining process using a graphical editor and a component palette.
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The solution is built on a NetBeans Rich Client Platform and takes many benefits from using rich components available in this platform. The user may define his work in the projects, edit and persist DMSL documents, run the mining tasks and view the mining results. The system is designed to emphasize the modularity and extensibility of the solution.
Web frameworks principles are described, features of some representatives are included as well. Stripes web framework is described more closely. The framework is designed to encourage creation of portable and maintainable application, with no vendor dependency on used application server.
Designed framework is implemented and it is possible to use it with three different implementations of application server. Functionality of the framework is verified on a simple application.
The original purpose of the project was to serve as a basic platform for authoring systems in project called ELSW -- E-learning in the Semantic Web Context. The main purpose of this work is to integrate support for dictionaries or corpora into an authoring system based on the NetBeans Platform -- to provide a basic NetBeans module with an API for accessing various dictionaries, and with apropriate user interface.
User should be able to easily manage the dictionaries and edit their properties. Searching should be availible from all the text-based editors in the application. In addition, Noa also created a family of futures which optimise for scenarios where only some subset of a future's interface is used. Naturally, many file system actors can be created as part of tuning, which may or may not execute in parallel depending on the overall system load and behaviour.
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Josef's Encore work concerns the interplay between concurrency and parallelism. For example, it is possible to implement a large array constructed by a collection of subarrays each owned by one actor, and the passive front-end simply lifts sychronous requests into asynchronous requests delegated to the actor s that holds the relevant subarray s. Building on these data structures, Josef implemented several map reduce-style algorithms, both serving as evaluation and adding new and relevant building blocks to the Encore libraries.
As part of the independent project course, Karolina, Lowe and Casper sought us out to do some work on Encore. In the spirit of independency, they worked almost completely isolated from the core Encore team, and learned on their own, how to hack the Encore compiler, and how to extend the language. They were considering a number of features, and eventually picked default parameters and field initialisation. As a consequence, the following Encore program:. With respect to programming languages, I am interested in programming abstractions — ways to express and model properties of interest in programs, and how to fortify abstractions and how to capture and enforce programmer intent.
Abstraction is an essential task of programming and involves hiding details and emphasising rules and "interfaces". For example, a stack is an abstraction that presents a certain interface: elements are inserted and removed from the same end, and the only way to manipulate the order of elements on a stack are by popping them and pushing them back in a different order.
The stack concept abstracts from the concrete implementation and emphasises the rules by which a stack can be manipulated to maintain its "stack-ness". A classic text book-example of a stack implementation is through a set of linked nodes, each holding an element. Unless the implementation of the stack abstraction is properly fortified, it could for example be possible for a user of a stack to gain access to its stack nodes and through direct manipulation of the stack nodes reorder elements or delete elements, or replace them, etc.
A properly fortified abstraction is possible to replace by another — for example a stack implemented as an array. The ability to swap entire building blocks of a program for others is important because it allows us to alter non-functional aspects of a program a classic example of a non-functional aspect is performance, another is security. This example also illustrates a connection with software engineering.
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Related is the capturing and enforcing of programmer intent — programming languages typically focus on helping programmers perform calculations but do not understand non-functional aspects of the system, and are therefore unable to help programmers write code that correspond to their intentions. Mistakes and misconceptions surface in testing if the tests are good enough, of course , where they may show up as errors whose root causes are hard to determine. A classic example is thread safety — the ability to use share something between threads that concurrently access it.
Determining whether a piece of code is thread-safe can be very hard, and require lots of so-called non-local reasoning, i. Going back to the stack example before — whether it is safe to share a stack abstraction across threads either requires knowledge of its concrete implementation e. Proper abstraction dictates that we should not rely on one specific implementation for software engineering reasons, for example so that we can swap one stack implementation for for another. Documentation however can be wrong, for example because the programmer thinks something is thread-safe that really isn't.
This can happen for many reasons.
For example, imagine the stack relies on some library L in its implementation. When the programmer implemented the stack, she checked the functions in L for thread-safety, but since then, L has changed and some functions are no longer thread-safe. Because most programming languages lack the ability to talk about thread-safety as it is a non-functional property of the code the compiler cannot warn us about this important change and consequently, the documentation of the stack incorrectly states it is thread-safe.
Enabling the programmer to state her intent about thread-safety allows the compiler to check that the implementation of the stack is thread-safe, and also captures the error of the changing properties of some functions in library L when the stack is recompiled against the updated L library. Static checking i.
This is unfortunate, but I believe that a small number of false positives is a small price to pay for machine-checked proofs of fulfilment of relevant properties of source code. If something is labelled thread-safe, we should be able to rely on it. This brings me to programming languages implementation. For example, if I know that some object O is only visible through this one pointer, I can temporarily copy O into CPU registers and make lots of updates on O without slow and costly updates of main memory so that a possible however unlikely concurrent reader of O is guaranteed to see a up-to-date value.