pith. sign in

arxiv: 1907.00143 · v1 · pith:X7JTCSVLnew · submitted 2019-06-29 · 💻 cs.SE

An\'alise Est\'atica de C\'odigo-Fonte

Joenio Marques da Costa This is my paper

Pith reviewed 2026-05-25 13:19 UTC · model grok-4.3

classification 💻 cs.SE
keywords static analysissource codesoftware engineeringintermediate representationsanalysis techniquesfree tools
0
0 comments X

The pith

A review compiles definitions, methods, and free tools for static source code analysis.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper assembles a theoretical overview of static analysis applied to source code. It covers the practice's definition along with its uses and applications in software development. The work details how such analysis occurs, including common intermediate representations, models, and techniques. It concludes by cataloging free downloadable tools, both general and those created in academic research settings.

Core claim

The article presents a theoretical summary of the source code static analysis, its definition, uses and applications, how static analysis is performed, their intermediate representation formats, models and most common analysis techniques, and a set of free and freely available downloadable static analysis tools, including academic software tools developed during research.

What carries the argument

Compiled overview of static analysis that organizes definitions, execution steps without program running, representation formats, and accessible tools.

If this is right

  • Developers gain a single reference for selecting analysis approaches suited to their projects.
  • Early issue detection becomes more feasible through the described techniques.
  • Research contributions are highlighted via the included academic tools.
  • Practitioners can compare multiple free options without separate searches.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The overview could function as an entry point for teaching static analysis in software courses.
  • It implies that combining multiple techniques from the summary may yield broader code coverage than any single method.
  • Updates to the tool catalog would be needed as new free options appear over time.

Load-bearing premise

The summary accurately and comprehensively covers the field of static analysis without significant omissions or inaccuracies.

What would settle it

Identification of a widely used static analysis technique or free tool absent from the paper's coverage.

read the original abstract

This article presents a theoretical summary of the source code static analysis, its definition, uses and applications, how static analysis is performed, their intermediate representation formats, models and most common analysis techniques, ends up presenting a set of free and freely available downloadable static analysis tools, academic software tools developed by scientists during their research work (The paper is written in Brazillian Portuguese).

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. The manuscript presents a theoretical survey in Brazilian Portuguese on static analysis of source code. It covers the definition of static analysis, its uses and applications, methods of performance, intermediate representation formats and models, common analysis techniques, and concludes with lists of free downloadable tools as well as academic tools developed in research.

Significance. As a survey compiling existing knowledge rather than advancing new results or derivations, the work has modest significance even if accurate. Its primary potential value is as an accessible reference for Portuguese-speaking students and practitioners in software engineering; however, the absence of novel synthesis, critical evaluation, or empirical assessment limits its contribution to the broader cs.SE literature.

minor comments (3)
  1. Abstract: the text consists of a single run-on sentence that would benefit from being split for clarity and readability.
  2. Abstract: 'Brazillian' is misspelled; it should be 'Brazilian'.
  3. The manuscript is written entirely in Portuguese. If the target journal requires an English abstract or title, these should be added.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for reviewing our manuscript and for the recommendation of minor revision. The work is a survey paper written in Brazilian Portuguese to serve as an accessible reference for students and practitioners in software engineering. We note that no specific major comments were provided in the report.

Circularity Check

0 steps flagged

No significant circularity; survey of existing literature

full rationale

This is a survey paper presenting definitions, uses, IR formats, techniques, and tool lists drawn from prior literature. It contains no original derivations, equations, predictions, fitted parameters, or load-bearing self-citations. The central claim is simply that it supplies a Portuguese-language summary; no step reduces by construction to its own inputs. Self-contained against external benchmarks as a review article.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

The paper introduces no new technical claims, derivations, or entities. No free parameters, axioms, or invented entities are required or present beyond standard background definitions in software engineering.

pith-pipeline@v0.9.0 · 5570 in / 934 out tokens · 44107 ms · 2026-05-25T13:19:02.174032+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

27 extracted references · 27 canonical work pages

  1. [1]

    encontrar todos os usos de um certo m´ etodo

    define uma extensa lista dessas atividades, incluindo: • An´ alise de performance • Compreens˜ ao de programas • Desenvolvimento baseado em modelos • Detec¸ c˜ ao de clones • Evolu¸ c˜ ao de software • Garantia de qualidade • Localiza¸ cao de falhas • Manuten¸ c˜ ao de software • Recupera¸ c˜ ao arquitetural • Testes Seja em qual atividade for, a an´ alise...

    work page

  2. [2]

    conhecidas

    enumera e descreve uma quantidade significativa de grafos de repre- senta¸ c˜ ao interna para programa¸ c˜ ao funcional. 6 T´ ecnicas de an´ alise In´ umeras t´ ecnicas e m´ etodos distintos podem ser utilizados pelas ferramentas de an´ alise est´ atica, seja com o objetivo de verifica¸ c˜ ao de tipos, localiza¸ c˜ ao de bugs, compreens˜ ao de programas, av...

    work page

  3. [3]

    Experimental Evaluation of Static Source Code Analysis Tools

    Khalid Alemerien and Magel Kenneth. Experimental Evaluation of Static Source Code Analysis Tools. Th e11th Internaitonal Conference on Soft- ware Engineering Research and Practice, July 2013

    work page 2013

  4. [4]

    The use and limitations of static-analysis tools to improve software quality

    Paul Anderson. The use and limitations of static-analysis tools to improve software quality. CrossTalk: The Journal of Defense Software Engineering , 21(6):18–21, 2008

    work page 2008

  5. [5]

    Analyzing the state of static analysis: A large-scale evaluation in open source software

    Moritz Beller, Radjino Bholanath, Shane McIntosh, and Andy Zaidman. Analyzing the state of static analysis: A large-scale evaluation in open source software. In Software Analysis, Evolution, and Reengineering (SA- NER), 2016 IEEE 23rd International Conference on , volume 1, pages 470– 481, 2016

    work page 2016

  6. [6]

    Source code analysis: A road map

    David Binkley. Source code analysis: A road map. In 2007 Future of Software Engineering, pages 104–119. IEEE Computer Society, 2007

    work page 2007

  7. [7]

    Secure programming with static analysis

    Brian Chess and Jacob West. Secure programming with static analysis . Pearson Education, 2007

    work page 2007

  8. [8]

    On the sustainability of academic software: the case of static analysis tools

    Joenio Costa, Paulo Meirelles, and Christina Chavez. On the sustainability of academic software: the case of static analysis tools. In Proceedings of the XXXII Brazilian Symposium on Software Engineering , pages 202–207. ACM, 2018

    work page 2018

  9. [9]

    Code analysis: Past and present

    Daniela da Cruz, Pedro Rangel Henriques, and Jorge Sousa Pinto. Code analysis: Past and present. 2009

    work page 2009

  10. [10]

    Software static code analysis lessons learned

    Andy German. Software static code analysis lessons learned. Crosstalk, 16(11):19–22, 2003

    work page 2003

  11. [12]

    Static analysis: A survey of techni- ques and tools

    Anjana Gosain and Ganga Sharma. Static analysis: A survey of techni- ques and tools. In Intelligent Computing and Applications , pages 581–591. Springer, 2015

    work page 2015

  12. [13]

    Source code analysis with codesonar

    GrammaTech. Source code analysis with codesonar. online, 06 2016. [on- line; acessado em 27 Julho 2016]. 12

    work page 2016

  13. [14]

    Why source code analysis and manipulation will always be important

    Mark Harman. Why source code analysis and manipulation will always be important. In Source Code Analysis and Manipulation (SCAM), 2010 10th IEEE Working Conference on , pages 7–19, 2010

    work page 2010

  14. [15]

    Evaluating Static Source Code Analysis Tools

    Thomas Hofer. Evaluating Static Source Code Analysis Tools . PhD thesis, Citeseer, 2010

    work page 2010

  15. [16]

    Static code analysis: A systematic literature review and an industrial survey, 2016

    Bilal Ilyas and Islam Elkhalifa. Static code analysis: A systematic literature review and an industrial survey, 2016

    work page 2016

  16. [17]

    S. C. Johnson. Lint, a c program checker. In COMP. SCI. TECH. REP , pages 78–1273, 1978

    work page 1978

  17. [18]

    Source code analysis - an overview

    Radoslav Kirkov and Gennady Agre. Source code analysis - an overview. Cybernetics and Information Technologies, 10(2):60–77, 2010

    work page 2010

  18. [19]

    A comparative study on software vulnerability static analysis techniques and tools

    Peng Li and Baojiang Cui. A comparative study on software vulnerability static analysis techniques and tools. In Information Theory and Infor- mation Security (ICITIS), 2010 IEEE International Conference on , pages 521–524, 2010

    work page 2010

  19. [20]

    Comparing Software Metrics Tools

    R¨ udiger Lincke, Jonas Lundberg, and Welf L¨ owe. Comparing Software Metrics Tools. In Proceedings of the 2008 International Symposium on Software Testing and Analysis , ISSTA ’08, pages 131–142, New York, NY, USA, 2008. ACM

    work page 2008

  20. [21]

    Thomas J. McCabe. A complexity measure. Software Engineering, IEEE Transactions on, (4):308–320, 1976

    work page 1976

  21. [22]

    Nielson, and Chris Hankin

    Flemming Nielson, Hanne R. Nielson, and Chris Hankin. Principles of program analysis. Springer, 2015

    work page 2015

  22. [23]

    Taxonomy of static code analysis tools

    Jernej Novak, Andrej Krajnc, et al. Taxonomy of static code analysis tools. In MIPRO, 2010 Proceedings of the 33rd International Convention , pages 418–422. IEEE, 2010

    work page 2010

  23. [24]

    Document semantics: two approaches

    Jos´ e Carlos Ramalho, Jose Joao Almeida, and Pedro Rangel Henriques. Document semantics: two approaches. 1996

    work page 1996

  24. [25]

    Barbara G. Ryder. The pfort verifier. Software: Practice and Experience , 4(4):359–377, 1974

    work page 1974

  25. [26]

    Intermediate representations in imperative compilers: A survey

    James Stanier and Des Watson. Intermediate representations in imperative compilers: A survey. ACM Computing Surveys (CSUR) , 45(3):26, 2013

    work page 2013

  26. [27]

    Industrial perspective on static analysis

    BA Wichmann, AA Canning, DL Clutterbuck, LA Winsborrow, NJ Ward, and DWR Marsh. Industrial perspective on static analysis. Software En- gineering Journal, 10(2):69, 1995

    work page 1995

  27. [28]

    Using dependence graphs for slicing functional programs

    Vadim Zaytsev. Using dependence graphs for slicing functional programs. 2015. 13

    work page 2015