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Formal Methods and Software Development

Overview of attention for book
Cover of 'Formal Methods and Software Development'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 On the relevance of formal methods to software development
  3. Altmetric Badge
    Chapter 2 Combining algebraic and predicative specifications in Larch
  4. Altmetric Badge
    Chapter 3 The role of proof obligations in software design
  5. Altmetric Badge
    Chapter 4 Functional semantics of modules
  6. Altmetric Badge
    Chapter 5 Intuition in software development
  7. Altmetric Badge
    Chapter 6 A rational design process: How and why to fake it
  8. Altmetric Badge
    Chapter 7 Formalization in systems development
  9. Altmetric Badge
    Chapter 8 Specifying and prototyping: Some thoughts on why they are successful
  10. Altmetric Badge
    Chapter 9 A formal specification of line representations on graphics devices
  11. Altmetric Badge
    Chapter 10 Experiences with the PSG — Programming System Generator
  12. Altmetric Badge
    Chapter 11 Software construction using typed fragments
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    Chapter 12 Graph grammar engineering: A method used for the development of an integrated programming support environment
  14. Altmetric Badge
    Chapter 13 Multidimensional tree-structured file spaces
  15. Altmetric Badge
    Chapter 14 A theory of abstract data types for program development: Bridging the gap?
  16. Altmetric Badge
    Chapter 15 Program development and documentation by informal transformations and derivations
  17. Altmetric Badge
    Chapter 16 ASSPEGIQUE: An integrated environment for algebraic specifications
  18. Altmetric Badge
    Chapter 17 Application of PROLOG to test sets generation from algebraic specifications
  19. Altmetric Badge
    Chapter 18 A PROLOG environment for developing and reasoning about data types
  20. Altmetric Badge
    Chapter 19 Algebraic specification of synchronisation and errors: A telephonic example
  21. Altmetric Badge
    Chapter 20 Modelling concurrent modules
  22. Altmetric Badge
    Chapter 21 Synthesis of parallel programs invariants
  23. Altmetric Badge
    Chapter 22 Analyzing safety and fault tolerance using Time Petri nets
  24. Altmetric Badge
    Chapter 23 Algebraic specification of a communication scheduler
  25. Altmetric Badge
    Chapter 24 The integration and distribution phase in the software life cycle
  26. Altmetric Badge
    Chapter 25 Formalized software development in an industrial environment
  27. Altmetric Badge
    Chapter 26 Object oriented concurrent programming and industrial software production
  28. Altmetric Badge
    Chapter 27 Experience of introducing the Vienna development method into an industrial organisation
  29. Altmetric Badge
    Chapter 28 EDP system development methodology: Auditability and control
  30. Altmetric Badge
    Chapter 29 Experiences with object oriented programming
Attention for Chapter 6: A rational design process: How and why to fake it
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

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mendeley
345 Mendeley
citeulike
5 CiteULike
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Chapter title
A rational design process: How and why to fake it
Chapter number 6
Book title
Formal Methods and Software Development
Published in
Lecture notes in computer science, May 2005
DOI 10.1007/3-540-15199-0_6
Book ISBNs
978-3-54-015199-9, 978-3-54-039307-8
Authors

David L. Parnas, Paul C. Clements, Parnas, David L., Clements, Paul C.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 345 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 3%
Germany 11 3%
Brazil 6 2%
United Kingdom 5 1%
Finland 4 1%
Denmark 3 <1%
Australia 3 <1%
Netherlands 2 <1%
Canada 2 <1%
Other 19 6%
Unknown 278 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 92 27%
Student > Master 61 18%
Researcher 44 13%
Student > Bachelor 32 9%
Professor > Associate Professor 27 8%
Other 60 17%
Unknown 29 8%
Readers by discipline Count As %
Computer Science 190 55%
Engineering 36 10%
Business, Management and Accounting 20 6%
Social Sciences 18 5%
Design 15 4%
Other 23 7%
Unknown 43 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 August 2023.
All research outputs
#14,508,511
of 24,344,498 outputs
Outputs from Lecture notes in computer science
#4,073
of 8,155 outputs
Outputs of similar age
#52,226
of 59,735 outputs
Outputs of similar age from Lecture notes in computer science
#40
of 61 outputs
Altmetric has tracked 24,344,498 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 59,735 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.