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Mary Tobin

dblp:41/4373 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 50% Software testing · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
formal specification
0.011998
Lessons from Using Z to Specify a Software Tool · IEEE Trans. Software Eng. 1998
Software testing › software reliability
reliability assessment
0.011998
Lessons from Using Z to Specify a Software Tool · IEEE Trans. Software Eng. 1998
Software testing
statistical testing
0.011998
Lessons from Using Z to Specify a Software Tool · IEEE Trans. Software Eng. 1998
Requirements engineering and software design › formal specification
z specification
0.011998
Lessons from Using Z to Specify a Software Tool · IEEE Trans. Software Eng. 1998

Methods — techniques the papers use, named apart from their topics

statistical testing · 0.0formal methods · 0.0
YearPublicationVenuePosition
1998 Lessons from Using Z to Specify a Software Tool
abstract
The authors were recently involved in the development of a COBOL parser (G. Ostrolenk et al., 1994), specified formally in Z. The type of problem tackled was well suited to a formal language. The specification process was part of a life cycle characterized by the front loading of effort in the specification stage and the inclusion of a statistical testing stage. The specification was found to be error dense and difficult to comprehend. Z was used to specify inappropriate procedural rather than declarative detail. Modularity and style problems in the Z specification made it difficult to review. In this sense, the application of formal methods was not successful. Despite these problems the estimated fault density for the product was 1.3 faults per KLOC, before delivery, which compares favorably with IBM's Cleanroom method. This was achieved, despite the low quality of the Z specification, through meticulous and effort intensive reviews. However, because the faults were in critical locations, the reliability of the product was assessed to be unacceptably low. This demonstrates the necessity of assessing reliability as well as "correctness" during system testing. Overall, the experiences reported in the paper suggest a range of important lessons for anyone contemplating the practical application of formal methods.
Martin Neil, Gary Ostrolenk, Mary Tobin, Mark Southworth
IEEE Trans. Software Eng.3