HPC Software Verification in Action: A Case Study with Tensor Transposition

2018 ◽  
Author(s):  
Erdal Mutlu ◽  
Ajay Panyala ◽  
Sriram Krishnamoorthy
Keyword(s):  
Software Verification

Trusting Computers Through Trusting Humans

2008 ◽  
pp. 3460-3474
Author(s):  
Alison Adam ◽  
Paul Spedding
Keyword(s):  
Quality Assurance ◽  
Software Engineering ◽  
Computer System ◽  
Software Quality ◽  
Software Verification ◽  
Mathematical Proof ◽  
Quality Standards ◽  
Software Quality Assurance ◽  
The Social

This article considers the question of how we may trust automatically generated program code. The code walkthroughs and inspections of software engineering mimic the ways that mathematicians go about assuring themselves that a mathematical proof is true. Mathematicians have difficulty accepting a computer generated proof because they cannot go through the social processes of trusting its construction. Similarly, those involved in accepting a proof of a computer system or computer generated code cannot go through their traditional processes of trust. The process of software verification is bound up in software quality assurance procedures, which are themselves subject to commercial pressures. Quality standards, including military standards, have procedures for human trust designed into them. An action research case study of an avionics system within a military aircraft company illustrates these points, where the software quality assurance (SQA) procedures were incommensurable with the use of automatically generated code.

Trusting Computers Through Trusting Humans

2011 ◽  
pp. 384-398
Author(s):  
Alison Adam ◽  
Paul Spedding
Keyword(s):  
Quality Assurance ◽  
Software Engineering ◽  
Computer System ◽  
Software Quality ◽  
Software Verification ◽  
Mathematical Proof ◽  
Quality Standards ◽  
Software Quality Assurance ◽  
The Social

This chapter considers the question of how we may trust automatically generated program code. The code walkthroughs and inspections of software engineering mimic the ways that mathematicians go about assuring themselves that a mathematical proof is true. Mathematicians have difficulty accepting a computer generated proof because they cannot go through the social processes of trusting its construction. Similarly, those involved in accepting a proof of a computer system or computer generated code cannot go through their traditional processes of trust. The process of software verification is bound up in software quality assurance procedures, which are themselves subject to commercial pressures. Quality standards, including military standards, have procedures for human trust designed into them. An action research case study of an avionics system within a military aircraft company illustrates these points, where the software quality assurance (SQA) procedures were incommensurable with the use of automatically generated code.

Model Testing of Ultra-Deepwater Floater Systems: Truncation and Software Verification Methodology

2006 ◽  
Author(s):  
Rolf Baarholm ◽  
Ivar Fylling ◽  
Carl Trygve Stansberg ◽  
Ola Oritsland
Keyword(s):  
Time Domain ◽  
Software Verification ◽  
Production Systems ◽  
Coupled Analysis ◽  
Mooring Line ◽  
Test Results ◽  
Set Up ◽  
Verification Methodology ◽  
Good Agreement

Model tests for global design verification of floating production systems in depths beyond 1000m–1500m cannot be made directly at reasonable scales. Truncation of mooring line and riser models, software calibration, as well as extrapolation and transformation to full depth and full scale, are required. Here, the first two of the above three items are addressed. The paper emphasizes the important matters to be taken into account. The choice of proper procedures for the set-up and the interpretation, and consistent and well documented methods, are essential. A case study with a deep-water semisubmersible is presented. In general, good agreement between model test results and analytical results from time-domain coupled analysis of the floater system responses is found.

scholarly journals Design and Verification of Cyber-Physical Systems Specified by Petri Nets—A Case Study of a Direct Matrix Converter

Mathematics ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 812 ◽  
Author(s):  
Wisniewski ◽  
Bazydło ◽  
Szcześniak ◽  
Grobelna ◽  
Wojnakowski
Keyword(s):  
Petri Net ◽  
Software Verification ◽  
Cyber Physical Systems ◽  
Matrix Converter ◽  
Hardware Verification ◽  
Physical Systems ◽  
Programmable Device ◽  
Hardware Description ◽  
Vector Modulation

The paper proposes a novel design technique of cyber-physical systems (CPSs). The system is specified by a Petri net, and further modelled in a hardware description language (HDL) towards final implementation in a programmable device. Contrary to the traditional design methods, the proposed solution is highly focused on the verification aspects. The system is checked three times before the final implementation in hardware. Initially, the Petri-net based specification is formally verified by the application of the model-checking technique. Secondly, software verification of the modelled system is performed. Finally, the hardware verification of the already implemented system is executed. The proposed method is explained by an example of a direct matrix converter (MC) with transistor commutation and space vector modulation (SVM). The main benefits, as well as the limitations, of the proposed solution are discussed and analysed.

Trusting Computers Through Trusting Humans

2008 ◽  
pp. 1152-1166
Author(s):  
Alison Adam ◽  
Paul Spedding
Keyword(s):  
Quality Assurance ◽  
Software Engineering ◽  
Computer System ◽  
Software Quality ◽  
Software Verification ◽  
Mathematical Proof ◽  
Quality Standards ◽  
Software Quality Assurance ◽  
The Social

This article considers the question of how we may trust automatically generated program code. The code walkthroughs and inspections of software engineering mimic the ways that mathematicians go about assuring themselves that a mathematical proof is true. Mathematicians have difficulty accepting a computer generated proof because they cannot go through the social processes of trusting its construction. Similarly, those involved in accepting a proof of a computer system or computer generated code cannot go through their traditional processes of trust. The process of software verification is bound up in software quality assurance procedures, which are themselves subject to commercial pressures. Quality standards, including military standards, have procedures for human trust designed into them. An action research case study of an avionics system within a military aircraft company illustrates these points, where the software quality assurance (SQA) procedures were incommensurable with the use of automatically generated code.

scholarly journals Using Academia-Industry Partnerships to Enhance Software Verification & Validation Education via Active Learning Tools

2017 ◽  
Vol 6 (2) ◽  
pp. 69
Author(s):  
Sushil Acharya ◽  
Priyadarshan Manohar ◽  
Peter Wu ◽  
Walter Schilling
Keyword(s):  
Active Learning ◽  
Software Verification ◽  
Gap Analysis ◽  
Course Delivery ◽  
National Science Foundation Grant ◽  
Learning Tools ◽  
Engineering Software ◽  
Develop Software ◽  
Applied Knowledge

Imparting real world experiences in a software verification and validation (SV&V) course is often a challenge due to the lack of effective active learning tools. This pedagogical requirement is important because graduates are expected to develop software that meets rigorous quality standards in functional and application domains. Realizing the necessity the authors designed and developed 42 delivery hours of active learning tools consisting of Case Studies, Class Exercises, and Case Study Videos for use in courses that impart knowledge on SV&V topics viz. requirements engineering, software reviews, configuration management, and software testing. Four key skill areas sought after by employers, namely communication skills, applied knowledge of methods, applied knowledge of tools, and research exposure are used to drive the development funded by a National Science Foundation grant and perfected through an industry-academia partnership.In this paper, we discuss in detail the four project plans the researchers and their industry counterparts followed over the past two years in the development and eventual dissemination of the active learning tools. A course enhancement plan was used to drive activities related to reviewing, enhancing, and modularizing modules, identified by a gap analysis performed by focus groups comprised of industry and academic partners. The course delivery plan was used to drive activities related to developing content delivery strategies. An evaluation and assessment plan was used to drive activities related to periodically evaluating student learning and assessing the project. And finally a course dissemination plan is being used to drive activities related to distributing course modules and assessment reports. The tools have been shared through two workshops and other means with instructors in universities and industry partners.

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