comparison of model and test source code
Sensitivity of fluvial sediment source apportionment to mixing model assumptions: A Bayesian model comparison
... different model setups can impact upon resulting source apportionment estimates in a Bayesian framework via a one-factor-at-a-time (OFAT) sensitivity ...mixing model, each with different error ...
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Regression test selection model: a comparison between ReTSE and pythia
... the code change impact. Xing et al. [23] have developed a new regression test selection technique based on the program dependence graphs of the original program and its modified ...select test cases ...
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Regression test selection model : a comparison between ReTSE and pythia.
... Regression test selection model: a ...regression test selection techniques based on program slicing ...a test case is referred to as the set of statements executed under that test ...a ...
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Process Model Improvement for Source Code Plagiarism Detection in Student Programming Assignments
... The benefits of the presented system is that it supports all languages. Findings in tokenized version are best for Java since tokens are made for Java. But regardless there are no tokens for PHP the tokenized version ...
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Source Code Comparison of DOS and CP/M
... of code and then eliminate the correlation that can be explained by reasons other than copying: commonly used identifier names, common algorithms, common author, automatically generated code, and third ...
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DISCOVERY OF MODEL IMPLEMENTATION PATTERNS IN SOURCE CODE
... Static code analysis allows pro- ducing class models [24]; dynamic analysis of execu- tion traces creates sequence diagrams and other beha- vioral artifacts ...employing code annotations in code ...
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Characterizing a Source Code Model with Energy Measurements
... mandatory. Model-Driven Engineering has shown great results when it comes to program understanding and ...the source code along with its energy consumption could be a powerful asset to programmers in ...
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A New Model for Semiautomatic Student Source Code Assessment
... given source code – particularly, one that has been assigned a weak grade by an automated grad- ing ...the code does not pass on some or all of the test cases, the methods can predict whether ...
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Summarizing Source Code using a Neural Attention Model
... quality source code is often paired with high level summaries of the compu- tation it performs, for example in code documentation or in descriptions posted in online ...as code search but are ...
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DISCOVERY OF COMPLEX MODEL IMPLEMENTATION PATTERNS IN SOURCE CODE
... of model driven development are se- paration of concerns and raising level of ...program code generator is the definitive component of model driven development ...program code generation is ...
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Source Code Summarization of Context for Java Source Code
... IV. IMPLEMENTATION DETAILS A. Proposed System: 1. Software Word Usage Model The Software Word Usage Model (SWUM) is a technique for representing program statements as sets of nouns, verbs, and prepositional ...
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Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicators
... Abstract: Test cases are crucial to help developers preventing the introduction of software ...production code. Some measures have been defined to assess test-case effectiveness: the most relevant ...
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Software defect prediction using machine learning on test and source code metrics
... The computational complexity of some of the previously mentioned ML algorithms makes the model building infeasible to use if all of the features in the dataset is used. As an example, Menzies et al. [31] ruled out ...
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Software Model Checking Extracting Verification Models from Source Code
... of test drivers. A test driver can be seen as a special type of test automaton that is very similar to the automata that S PIN extracts from an LTL ...
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A metrics suite for JUnit test code: a multiple case study on open source software
... unit test case metrics) is usually ex- plained by the first few ...Scree test (Cattell 1966) is based on the decreasing curve of eigenvalues ...unit test case ...
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Test Code 28
... Caveats Regarding Raw Score Interpretation 1. The GMAT is designed to yield only the reported verbal, quantitative, and total scaled scores. One should not calculate raw scores or individual test sections and ...
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A multi-input deep learning model for C/C++ source code attribution
... Being able to determine who wrote a piece of code can be an important step in analyzing source code. Scholastically, it can be used to detect plagiarism in the computer science department. In the ...
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Ring: a Unifying Meta-Model and Infrastructure for Smalltalk Source Code Analysis Tools
... Introduction Source code management systems such as SVN or Git record different ver- sions of ...Such source code is then processed by tools for detecting changes between versions and ...
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Coherent clusters in source code
... 3.8. Threats to validity This section presents threats to the validity of the results presented. The primary external threat arises from the possibility that the programs selected are not representative of programs in ...
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On Matching Binary to Source Code
... different code bases and machine-level binary functions in arbitrary executable ...of source code that are preserved during the compila- tion and build processes, and are generally independent of the ...
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