Data flow analysis

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Topic: Data flow analysis

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	Data Flow Diagrams
		If new data flows are identified at the lower level which cross the frame (indicating they are not internal to the process), these should be reflected at the higher level so that consistency is maintained between the levels.
		A physical flow represents the flow of material (as opposed to data flows representing the flow of information), the movement of some resources or goods which are relevant to the information system, from source to destination.
		This representation is often more meaningful to users than logical data flows which may appear a little abstract.
	www.cs.mdx.ac.uk /staffpages/geetha/bis2030/DFD.html

	Exploratory data analysis
		Tukey held that too much emphasis in statistics was placed on evaluating and testing given hypotheses (confirmatory data analysis) and that the balance was in need of redressing in favour of using data to suggest hypotheses to test.
		In particular, confusion of the two types of analysis and employing them on the same set of data can lead to bias owing to the effect of testing hypotheses suggested by the data.
		Hoaglin, D C; Mosteller, F & Tukey, J W (Eds) (1983) Understanding Robust and Exploratory Data Analysis ISBN 0471097772
	sundanese.encyclopedia.st /Exploratory_data_analysis

	Array Data-Flow Analysis.
		A single array data-flow analysis is used to determine arrays involved in data dependences, to locate privatizable arrays and to recognize reductions.
		Array data-flow analysis is a bottom-up interprocedural analysis on the loops and procedures of the program, using the region-based analysis framework described above.
		Data dependence testing at a loop is a comparison of the Read and Write sets to determine if they are disjoint for different iterations of the loop.
	cag.lcs.mit.edu /~saman/papers/sc95/node17.html

	Data Flow Diagrams - Free Online Tutorial
		Each data flow may be referenced by the processes or data stores at its head and tail, or by a description of its contents.
		The document flow analysis approach is appropriate if the part of the business under investigation consists principally of flows of information in the form of documents or computer input and output.
		An external entity is a source or destination of a data flow which is outside the area of study.
	www.getahead-direct.com /gwbadfd.htm

	Data Flow Diagramming Technique
		Data flow diagrams are supported by other techniques of structured systems analysis such as data structure d iagrams, data dictionaries, and procedure-representing techniques such as decision tables, decision trees, and structured English.
		Data Flow Diagramming is a means of representing a system at any level of detail with a graphic network of symbols showing data flows, data stores, data processes, and data sources/destinations.
		A data flow diagram is not a flowchart and should not have loops or transfer of control.
	spot.colorado.edu /~kozar/DFDtechnique.html

	Chapter II
		Data flow analysis is the process of statically examining code to determine the possible uses and modifications of data values during execution [HEC77].
		UOEs are not targeted during data flow analysis as UIVs are, because an output is considered to be a use of a variable, and therefore does not affect the flow of control of a program.
		Once inter-CFG data flow analysis is completed for a call to F at statement S
	www.cis.gsu.edu /~mmoore/MORPH/dissertation/detection.html

	JCSMR Flow cytometry data analysis
		The arithmetic mean is well suited to the analysis of data that is collected on a linear scale, while as a general rule, the geometric mean is better suited for use with data collected with a logarithmic amplifier.
		This correlation of the data allows the data to be plotted in multi-dimensional space, an attribute which is utilised in many analyses where one wishes to calculate the relative amount of an attribute A compared to attribute B or C. Histogram analysis:
		This type of data, where the test sample shows a comparitively small shift in the relative fluorescence, is well suited to histogram subtraction, as opposed to a "set marker" type approach, as one has difficulty with this type of experiment in clearly deciding where a marker could, or should be set.
	jcsmr.anu.edu.au /facslab/analysis.html

	CS 394P: Data Flow Analysis
		This assignment is to write some basic programs for data flow analysis.
		Data flow information will be represented as sets of symbols, where each symbol is either a variable or a compiler variable that represents a subexpression.
		Each node also has a node number, the numbers of its successor nodes, and places to hold the data flow information.
	www.cs.utexas.edu /users/novak/asg-dataflow.html

	The SUDS Data Flow Analysis Library
		This analysis isn't actually itself a data flow analysis, but rather uses live variable and reaching defs information to find scalars within a loop that are invariant or privatizable.
		Data flow analysis is one of the standard tools in a compiler writer's bag of tricks.
		Calling them "data flow analyses" is a bit of a stretch, since their solution is guaranteed to converge with exactly one linear pass through the
	cag.lcs.mit.edu /raw/memo/08/suds.html

	C Checker Reference Manual: Data Flow and Variable Analysis
		However, in its flow analysis, the TenDRA C checker treats all the conditionals it meets as if they were independent and does not look for any such complex dependencies (indeed it is possible to think of examples where such analysis would be impossible).
		When the variable analysis is enabled, the checker detects the use of expressions with side-effects in the operand of the sizeof operator.
		The variable analysis is concerned with the evaluation of expressions and the use of local variables, including function arguments.
	www.cse.unsw.edu.au /~patrykz/TenDRA/tdfc/tdfc8.html

	Data flow analysis for reverse engineering
		Data flow analysis is beneficial for these applications since the information obtained can be used to compute relationships between data objects in programs.
		Data flow analysis is a process for collecting run-time information about data in programs without actually executing them.
		This can be established by using a framework which facilitates the specification and execution of data flow analysis algorithms.
	homepages.cwi.nl /~leon/papers/masters

	Analysis Ranking Data Flow Diag...
		Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse.
		Data mining is a set of techniques for automating the exploration of data and uncovering hidden truths.
		Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work.
	evaluation.apollocon.com /researchit/analysis-ranking-data-flow-diag...

	Data Flow Analysis
		Data-flow analysis is used to establish that a property is invariant at a program point wrt every possible execution trace that reaches that point.
		Verifying the type safety of weakly typed languages requires data-flow analysis.
		Type analysis: verify, for all execution sequences that reach an iadd instruction, that there are two integer values on the top of stack.
	www.kestrel.edu /HTML/projects/cpr/sld014.htm

	The Machine SUIF Bit-Vector Data-Flow-Analysis Library
		A flow function is a slot-set transformer; it captures the total effect of a CFG node n in one data structure that is applied to before [n], yielding after [n].
		Solvers of bit-vector data-flow problems need to associate an integer identifier with each item in the universe whose data flow they calculate.
		To apply a flow function to a slot set, we subtract away any slots at which the function is constant and then union in the new constant slots.
	www.eecs.harvard.edu /machsuif/software/nci/bvd.html

	Deferred Data-Flow Analysis - Sharma, Acharya, Saltz (ResearchIndex)
		In this paper, we propose a general framework which combines compile-time analysis with limited runtime analysis to improve the precision of dataflow information at performancecritical points in the program.
		This technique, which we refer to as deferred dataflow analysis (DDFA), performs most of the analysis at compile-time but defers the final stages of the analysis till...
		Deferred Data-Flow Analysis - Sharma, Acharya, Saltz (ResearchIndex)
	citeseer.csail.mit.edu /59573.html

	Data Flow Analysis for Checking Properties of Concurrent Java Programs
		The accuracy of this analysis can be improved by supplying additional information, represented as finite state automata, to the data flow analysis algorithm.
		The general approach of FLAVERS is based on modeling a concurrent program as a flow graph and using a data flow analysis algorithm over this graph to check statically if a property holds on all executions of the program.
		In this paper we show how the FLAVERS data flow analysis technique, originally formulated for programs with the rendezvous model of concurrency, can be applied to concurrent Java programs.
	www.cs.umass.edu /Dienst/UI/2.0/Describe/ncstrl.umassa_cs%2FUM-CS-1998-022

	apsec,Second Asia-Pacific Software Engineering Conference (APSEC'95)
		Although data flow analysis has been successfully applied in testing programs written in procedural programming languages, its current form is not powerful enough to test object oriented programs.
		The methodology of conventional data flow analysis should be extended to incorporate new techniques to test C++ programs.
		We propose how data flow analysis should be extended and demonstrate how it can be used to detect data flow anomalies.
	csdl.computer.org /comp/proceedings/apsec/1995/7171/00/71710022abs.htm

	Data-Flow Analysis for Constraint Logic-Based Languages
		In the literature on data-flow analysis this problem is systematically swept under the carpet, even in papers dealing with the analysis of Prolog (which, proverbially, omits the occur-check).
		They showed, among other things, that their bottom-up analysis is at least as precise (on both call and success-patterns) as any top-down abstract interpretation using the same abstract domain and abstract operators.
		Top-down analysis methods are usually advocated for this purpose, since the standard execution strategy of (constraint) logic programs is top-down.
	www.cs.unipr.it /~bagnara/Papers/Abstracts/PhDthesis

	Data Flow Analysis of Communicating Finite State Machines
		In this paper we present a data flow approach to analyzing these communicating machines for nonprogress properties (deadlock and specified reception).
		We set up flow equations to compute the set of pending messages in the queue at any given state of such a network.
		The central technical contribution of this paper is an algorithm to compute approximations to solutions for the ensuing equations.
	www4.ncsu.edu /eos/users/p/purush/www/Papers/toplas.html

	IEEE Transactions on Software Engineering,February 1990 (Vol. 16, No. 2)
		Marlowe, "Data flow analysis and incremental iteration," Ph.D. dissertation, Rutgers Univ., Aug. 1989.
		Incremental data flow analysis algorithms have been designed to deal efficiently with change in evolving software systems.
		The authors report on experiments on the empirical profiling of a general-purpose, incremental data flow analysis algorithm.
	doi.ieeecomputersociety.org /10.1109/32.44377

	198:415
		In each iteration, we traverse every node and check that the righthandside of its data-flow equation calculates the same set as is the current solution at that node.
		Using control flow graph 2, calculate the live uses of variables at each basic block exit.
		Using control flow graph 1, calculate the sets of reaching definitions at each basic block entry.
	www.cs.rutgers.edu /~ryder/415/writtenhws/regalloc-dfa.html

	Learn How to Draw Data Flow Diagrams (DFD) - The Software Design Center
		Data flow diagrams illustrate how data is processed by a system in terms of inputs and outputs.
		A process transforms incoming data flow into outgoing data flow.
		You can use two different types of notations on your data flow diagrams: Yourdon and Coad or Gane and Sarson.
	www.smartdraw.com /resources/centers/software/dfd.htm

	9.1 Data Flow Analysis Methods
		We can gather relevant information for data flow analysis in a way similar to the way gossip is propagated: locally available information is initially posted and then propagated over the possible paths in the control graph.
		Most data flow problems can be defined by equations.
	www.cs.wpi.edu /~kal/PLT/PLT9.1.html

	UC Davis 289M Term Project
		We investigate reducing false positive rates with MOPS via data flow analysis.
		Analysis of applicability of techniques used in other model checkers, such as SLAM, will also be conducted.
		Begin implementation of algorithm(s) and design experiments (include finding appropriate data sets).
	ultimate.cs.ucdavis.edu /289M

	Experiments in Data flow analysis of Communicating Finite State Machines
		The objectives of the paper are: (a) to present the data flow analysis in a very simple and intuitively clear framework, (b) to describe our experimental results which show that neither of two ends of the spectrum in data flow analysis, viz.
		We have been pursuing a data flow analysis approach that yields sufficient conditions for absence of deadlock, absence of unspecified reception, unreachability and boundedness.
		Experiments in Data flow analysis of Communicating Finite State Machines
	www4.ncsu.edu /eos/users/p/purush/www/Papers/forte.html

	Data Flow Analysis
		This problem can be solve using the techniques of data flow analysis, which builds on control flow analysis described previously
		For each statement in a program determine the set of definitions for which there is a path from the definition to the statement on which there does not occur an overriding definition
	www.cc.gatech.edu /reverse/tutorial/slides/tsld084.htm

	Comp.compilers: Re: Data flow analysis material
		Data flow analysis material venug@sasi.com (R Venugopal) (2000-02-04)
		Re: Data flow analysis material dimock@deas.harvard.edu (Allyn Dimock) (2000-02-10)
		Re: Data flow analysis material apiron@ulb.ac.be (Anthony PIRON) (2000-02-10)
	compilers.iecc.com /comparch/article/00-02-035

	Software Engineering [CiteSeer; NEC Research Institute; Steve Lawrence, Kurt Bollacker, Lee Giles]
		In this paper we present an approach, based on data flow analysis, that can provide cost-effective analysis of concurrent programs with respect to explicitly stated correctness properties.
		Our analysis identifies the data tokens that lie on more than one slice as the "glue" that binds separate components to...
		In this paper, we motivate and present a data model for conceptual design of structural and behavioural aspects of databases.
	citeseer.ist.psu.edu /SoftwareEngineering

	Implementation Techniques for Efficient Data-Flow Analysis of Large Programs
		Many software engineering tools such as program slicers must perform data-flow analysis in order to extract necessary information from the program source.
		We present techniques that reduce the time and space required to perform data-flow analysis of large programs.
		We have used these techniques to implement an efficient program slicing tool for C programs and have computed slices of programs with more than 100,000 lines of code.
	www.cs.ucsd.edu /Dienst/UI/2.0/Describe/ncstrl.ucsd_cse/CS2001-0665

	MUX Data Flow Analysis
		In this situation, we are interested in the dynamics of MUX data transfer.
		This is a typicall TCP data transfer, lets zoom in the middle of some spot during the transfer, to describe what happens more precisely:
		The client www45.inria.fr.33050 - on the bottom of the table - keeps sending TCP ACK packets, each time it receives a packet from the server www43.inria.fr.jigsaw-proxy.
	www.w3.org /Protocols/MUX/FlowAnalysis

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