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Journal ArticleDOI

An empirical study of the reliability of UNIX utilities

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TLDR
The following section describes the tools built to test the utilities, including the fuzz (random character) generator, ptyjig (to test interactive utilities), and scripts to automate the testing process.
Abstract
The following section describes the tools we built to test the utilities. These tools include the fuzz (random character) generator, ptyjig (to test interactive utilities), and scripts to automate the testing process. Next, we will describe the tests we performed, giving the types of input we presented to the utilities. Results from the tests will follow along with an analysis of the results, including identification and classification of the program bugs that caused the crashes. The final section presents concluding remarks, including suggestions for avoiding the types of problems detected by our study and some commentary on the bugs we found. We include an Appendix with the user manual pages for fuzz and ptyjig.

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Proceedings ArticleDOI

Accelerated robustness testing of state-based components using reverse execution

TL;DR: A methodology to test the robustness of reactive state-based software components by executing defined and undefined transitions of a UML Statechart specification, and therefore simulating a usage scenario under normal and abnormal conditions.
Proceedings ArticleDOI

Meta-control for Adaptive Cybersecurity in FUZZBUSTER

TL;DR: This paper demonstrates how FUZZ Buster's greedy meta-control reasons efficiently about the exploit potential of vulnerabilities, the usage schedule of vulnerable applications, and the expected performance of its various fuzz-testing and adaptation tools.
Proceedings ArticleDOI

SpinalFuzz: Coverage-Guided Fuzzing for SpinalHDL Designs

TL;DR: This paper brings Coverage-Guided Fuzzing (CGF), a well-established software testing technique, to the SpinalHDL design flow and demonstrates the effectiveness of SpinalFuzz in comparison to Constrained Random Verification (CRV).
Proceedings ArticleDOI

Testing Database Engines via Query Plan Guidance

Jinsheng Ba, +1 more
TL;DR: Query Plan Guidance (QPG) as discussed by the authors guides automated testing towards interesting test cases by steering testing towards a variety of unique query plans, some of which are potentially incorrect, by gradually applying promising mutations to the DBMS to create potentially unseen query plans for subsequent queries.
References
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Journal ArticleDOI

On the criteria to be used in decomposing systems into modules

TL;DR: In this paper, the authors discuss modularization as a mechanism for improving the flexibility and comprehensibility of a system while allowing the shortening of its development time, and the effectiveness of modularization is dependent upon the criteria used in dividing the system into modules.
Journal ArticleDOI

Letters to the editor: go to statement considered harmful

TL;DR: My considerations are that, although the programmer's activity ends when he has constructed a correct program, the process taking place under control of his program is the true subject matter of his activity, and that his intellectual powers are rather geared to master static relations and his powers to visualize processes evolving in time are relatively poorly developed.
Book

Go to statement considered harmful

TL;DR: In form and content, Dijkstra's letter is similar to his 1965 paper, and the last few paragraphs underscore once again why the subject of structured programming stayed out of the mainstream of the data processing industry for so long.
Journal ArticleDOI

Efficient learning of context-free grammars from positive structural examples

TL;DR: It is shown that the class of reversible context-free grammars can be identified in the limit frompositive samples of structural descriptions and there exists an efficient algorithm to identify them from positive samples ofStructural descriptions, where a structural description of a context- free grammar is an unlabelled derivation tree of the grammar.
Journal ArticleDOI

Crisis and aftermath

TL;DR: Last November the Internet was infected with a worm program that eventually spread to thousands of machines, disrupting normal activities and Internet connectivity for many days.