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Record W139942286

2 nd Software Certification Consortium Workshop: Theoretical Basis for System and Software Engineering Practices and Certification

2011· article· en· W139942286 on OpenAlexaff
Tom Maibaum, Paul Joannou

Bibliographic record

VenueConference of the Centre for Advanced Studies on Collaborative Research · 2011
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDependabilityCertificationSoftware deploymentSoftware systemAvionics softwareComputer scienceSoftware qualitySoftware developmentLife-critical systemSoftwareSoftware engineeringEngineeringSystems engineeringRisk analysis (engineering)Engineering managementBusinessOperating system
DOInot available

Abstract

fetched live from OpenAlex

An increasingly important requirement for success in many domains is the ability to cost-effectively develop and/or purchase dependable (fit for purpose, safe, correct, secure, robust, maintainable) software for critical, often safety-critical, systems (e.g. pacemakers, health monitoring equipment, patient care planning and monitoring systems, automotive software, avionics software, core banking applications, financial reporting, nuclear reactors, etc.). Software errors in each of these domains continue to lead to catastrophic system failures, sometimes resulting in loss of life. A recent report by the U. S. National Academy of Sciences [1], concludes that new techniques and methods will be required in order to build future software systems to the level of dependability that will be required.... In the future, more pervasive deployment of software... could lead to more catastrophic failures unless improvements are made. Thus, society is increasingly demanding that software used in critical systems must meet minimum safety, security and reliability standards. Manufacturers of these systems are in the unenviable position of not having consistent and effective guidelines as to what constitutes acceptable evidence of software quality, and how to achieve it. This drives up the cost of producing these systems without producing a commensurate improvement in dependability. The Software Certification Consortium (SCC) was formed in 2007. Its members are drawn from regulators, industry and academia. Its mandate is to significantly improve the certification of systems that depend on software to perform their intended functionality. The workshop at CASCON was SCC's second Annual Workshop on Certification of Safety Critical Software. It brought together experts in fields essential to the certification of software. Certification of software-intensive systems is currently mainly process based. The reliance on standards and certification regimes that are process based has contributed to the unpredictable dependability of software-intensive systems. This situation has arisen primarily because we do not have the fundamental results necessary to evaluate the dependability of software products based on evidence tied to the product itself. These results are necessary to develop tools and methodologies for creating certifiable software intensive systems, as well as product focused approaches to certifying these systems [2,3]. The agenda of the workshop was developed to present various aspects of research related to this problem, in particular focusing on the Theoretical Basis for System and Software Engineering Practices and Certification, one of SCC's work items identified as of importance in accomplishing SCC's goals. A unique aspect of the workshop was the active participation of people from regulatory agencies, industry and academia. The workshop was organised to be very interactive, with each pair of presentations followed by an extended discussion period and the use of breakout sessions for focused analysis on specific issues identified during the discussions. SCC has established a work program to be pursued by its members and associates. Amongst the initial topics identified in this program was the Theoretical Basis for System and Software Engineering Practices and Certification. Subsidiary topics included: • understanding of software failures. • understanding of certification issues, both in relation to the needs of suppliers as well as those of regulators. A fundamental problem here is the over reliance on process based standards as opposed to direct assessment of the product. This contrasts starkly with other engineering domains. • developing an overarching theory of coverage across multiple techniques. For example, how can we make tradeoffs amongst different testing strategies and coverage levels. How can we trade off proofs of correctness vs strategies and coverage in testing. • system engineering bodies of knowledge, to support systematic development of systems including software. • software engineering bodies of knowledge, to support the systematic development of critical software. The workshop agenda included presentations by: regulators of safety-critical software based systems, who described the problems that they face, current thinking for dealing with those problems, and solutions that require more research; manufacturers of such systems, who described the impact of uncertainty in software quality and in the typical certification process, as well as suggestions for improving the situation; and academic researchers working on metrics and processes for certification of critical software, analytic tools, and human computer interfaces. An in-depth examination of human computer interface issues related to both safety and efficacy from the point of view of context and cognition showed the range of expertise that is required to deal adequately with these complex issues. Since so much of the content of the workshop was driven by discussion at previous SCC meetings, interested readers may benefit from a brief description of details about SCC and its focus that can be found in [3].

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.096
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.096
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.307
GPT teacher head0.451
Teacher spread0.144 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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