Last edited by Doulkis
Friday, November 20, 2020 | History

2 edition of Dataflow minimal slicing. found in the catalog.

Dataflow minimal slicing.

Sebastian Danicic

Dataflow minimal slicing.

  • 86 Want to read
  • 29 Currently reading

Published .
Written in English


Edition Notes

Unpublished typescript.

ContributionsUniversity of North London.
The Physical Object
Pagination296p.
Number of Pages296
ID Numbers
Open LibraryOL18313300M


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Dataflow minimal slicing. by Sebastian Danicic Download PDF EPUB FB2

Statement minimal slices are known not to be computable. Slicing algorithms traditionally work at the dataflow level, i.e. the only information used about each expression in the program being sliced is the set of variables referenced by the expression.

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It is known that statement minimal slices are not computable, but the question of dataflow minimal slicing has remained open since Weiser posed it in This paper proves that static slicing algorithms produce dataflow minimal end slices for programs which can be represented as schemas which are free and liberal.

Slicing. A slice in a multidimensional array is a column of data corresponding to a single value for one or more members of the dimension. Slicing is the act of divvying up the cube to extract this informa tion for a given slice.

It is important because it helps the user visualize and gather information specific to a. A slicing criterion C=(i, V) determines a projection func- Imagine slicing onthe value ofxat line 5. Analgorithmtofind tion Projc which throwsout ofthe state trajectory all ordered a statement-minimal slice would include line 3 if and only if pairs except those starting withi, andfromthe remainingpairs the function before line 3 did halt.

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{Lange } Carola Lange, Program slicing and slicing book technology, ARTISpring ]] Google Scholar {Larsen } Loren Larsen and Mary Jean Harrold, Slicing Object-Oriented software, International Conference on Software Engineering Proceedings of the 18th international conference on Software engineering, Berlin, Germany, pp.

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Author: Danicic, Sebastian. ISNI: Awarding Body: University of North London Current Institution: London Metropolitan University Date of Award: Availability of Full Text: Access from EThOS. Danicic, S. Dataflow Minimal Slicing. PhD thesis, University of North London, UK, School of Informatics, Apr.

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In computer programming, dataflow programming is a programming paradigm that models a program as a directed graph of the data flowing between operations, thus implementing dataflow principles and architecture.

Dataflow programming languages share some features of functional languages, and were generally developed in order to bring some functional concepts to a language more suitable for.

Program slicing was originally introduced by Mark Weiser to formalize the mental process that a programmer follows to find a bug. Essentially, program slicing extracts those sentences that are related to some criterion (referred to as "slicing criterion"), usually given Author: BinkleyDave, DanicicSebastian, GyimóthyTibor, HarmanMark, KissÁkos, KorelBogdan.

Request PDF | Static Backward Slicing of Non-deterministic Programs and Systems | A theory of slicing non-deterministic programs and systems is developed. Non-deterministic programs and systems.

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Dataflow SQL lets you use your SQL skills to develop streaming Dataflow pipelines right from the BigQuery web UI. You can join streaming data from Pub/Sub with files in Cloud Storage or tables in BigQuery, write results into BigQuery, and build real-time dashboards using Google Sheets or.

Dataflow concepts are the heart of Reactive Programming, Flow-Based Programming (e.g. NoFlo), Unix pipes, Actors and message passing in general. Dataflow-based systems are easy to design once you understand the large number of implementation details that could drastically change how.

2By windowing, we mean as de ned in Li [22], i.e. slicing data into nite chunks for processing. More in Section 3By triggering, we mean stimulating the output of a speci c window at a grouping operation.

More in Section 4By unaligned windows, we mean windows which do not span the entirety of a data source, but instead only a subset. Thin-slicing allows us to make smart decisions based on little information with minimal deliberation. Snap-second judgments are often more accurate than when we take the time to analyze a situation (paralysis by analysis).

The subconscious recognizes patterns and connections – what we call a “gut feeling” – long before our brain. Satchel is an attempt to synthesize the best of several dataflow patterns typically used to drive a React-based UI.

In particular: Flux is not a library itself, but is a dataflow pattern conceived for use with React. In Flux, dataflow is unidirectional, and the only way to modify state is by dispatching actions through a central dispatcher. A trajectory-based strict semantics for program slicing. Theoret.

Comput. Sci.(Mar. ), Google Scholar; Árpád Beszédes, Tamás Gergely, Zsolt Mihály Szabó, János Csirik, and Tibor Gyimóthy. Dynamic slicing method for maintenance of large c : DanicicSebastian, R LaurenceMichael.

Thin-slicing is a term used in psychology and philosophy to describe the ability to find patterns in events based only on "thin slices", or narrow windows, of experience. The term means making very quick inferences about the state, characteristics or details of an individual or situation with minimal.

Program slicing is a method used by experienced computer programmers for abstracting from pro- grams. Starting from a subset of a program's behavior, slicing reduces that program to a minimal form which still produces that behavior.

Food Processing Technology: Principles and Practice, Fourth Edition, has been updated and extended to include the many developments that have taken place since the third edition was published.

The new edition includes an overview of the component subjects in food science and technology, processing stages, important aspects of food industry. In dataflow programming, programs are represented as directed graphs (and are often assembled visually); data “flows” through arcs and is processed by nodes.

In this presentation, we’ll. Kiss, B. Korel, Minimal slicing and the relationships between forms of slicing, in: 5th IEEE International Workshop on Source Code Analysis and Manipulation, S IEEE Computer Society Press, Los Alamitos, CA, USA, Budapest, Hungary,pp. (best paper award winner). Dataflow is a software paradigm based on the idea of disconnecting computational actors into stages (pipelines) that can execute concurrently.

Dataflow can also be called stream processing or reactive programming. There have been multiple data-flow/stream processing languages of various forms (see Stream processing).The Wisconsin Program Slicing System [WPS] is a commercially available tool for slicing C programs and is marketed by GrammaTech Inc.

The idea of program slicing has also been applied to Object-Oriented programs [Tip96,LH96,Ste98], logic programs [SD96,KNN99, ZCU97 ], functional programs [JH99] and specifications [WA98].Data Flow at the ISA level has not been (as) successful!

Data Flow implementations under the hood (while preserving sequential ISA semantics) have been successful " Out of order execution " Hwu and Patt, “HPSm, a high performance restricted data flow architecture having minimal functionality,” ISCA File Size: 2MB.