COTS Score: an acceptance methodology for COTS software

Morris, A. Terry

doi:10.1109/dasc.2000.886948

Cited by 11 publications

(3 citation statements)

References 4 publications

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“…A further issue is the critical need to ensure better simulation models in application software can be reused effectively across various types of flight simulator. The combination of these vital but difficult issues is driving the need for more formalized software architecture and a growing move towards commercial off the shelf (COTS) middleware adoption [1].…”

Section: Introductionmentioning

confidence: 99%

DDS Based High Fidelity Flight Simulator

Zheng

Jin

et al. 2009

2009 WASE International Conference on Information Engineering

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The real-time distributed computing environment and reusable software architecture are important factors that affect the fidelity of flight simulation. We accomplished a flight simulator based on DDS (Data Distribution Service for Real-time Systems) middleware and structural software architecture and proved its high fidelity as a flight training device. According to the analysis of flight simulator's functional blocks, we developed the real-time distributed computing environment which utilized DDS middleware through Ethernet and decreased the communication latency among functional blocks. Furthermore, we proposed the structural software architecture on the basis of layered and component-based design pattern to facilitate the higher simulation components' reuse and replacement. The real-time communication procedures among simulation components are also described in this paper. The validation method and the contrasting simulation results are presented finally to show the feasible design based on DDS to carry out flight simulation with low communication latency and high quality.

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Section: Introductionmentioning

confidence: 99%

DDS Based High Fidelity Flight Simulator

Zheng

Jin

et al. 2009

2009 WASE International Conference on Information Engineering

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“…In our research we have investigated 8 of the most widespread COTS selection processes: SCARLET [19], OTSO [20], CARE [21], PECA [22], CRE [23], STACE [24], COTS Score [25] and that proposed by the SEL [26]. Due to lack of space, in this section we analyze in detail the first three selection methods under the light of the 8 agile principles identified in section 2.…”

Section: An Agile-oriented Analysis Of Current Cots Selection Methodsmentioning

confidence: 99%

How Agile COTS Selection Methods are (and can be)?

Navarrete

Botella

Franch

31st EUROMICRO Conference on Software Engineering and Advanced Applications

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Agile methods are proposed nowadays as a way to support software systems procurement. Most of the existing proposals such as eXtreme Programming or Scrum seem to conceive software procurement as an exercise of software development. However, a great deal of software systems are Commercial Off-The-Shelf (COTS)-based systems, in which the focus changes from bespoke software development to COTS selection and integration. Many proposals for COTS selection have been issued and therefore one may wonder how do they behave from the agile point of view. In this paper, we study the agile principles in the context of COTS selection and we analyze some of the most widespread existing methods. As a result, we identify some practices that would help in making COTS selection processes more agile.

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“…Using Bayes' Theorem, this approach performs statistical inference by taking into account the probabilistic nature of the causal influences of the measures of interest, thereby encoding, to some degree, the uncertainty in the decision analysis problem. The approach is coherent, admissible, and consistent with an acceptance methodology for COTS software [5].…”

Section: The Independent Assessment Processmentioning

confidence: 99%

Space Shuttle RTOS Bayesian network

Morris

Beling

20th DASC. 20th Digital Avionics Systems Conference (Cat. No.01CH37219)

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With shrinking budgets and the requirements to increase reliability and operational life of the existing orbiter fleet, NASA has proposed various upgrades for the Space Shuttle that are consistent with national space policy. The cockpit avionics upgrade (CAU), a high priority item, has been selected as the next major upgrade. The primary functions of cockpit avionics include flight control, guidance and navigation, communication, and orbiter landing support. Secondary functions include the provision of operational services for non-avionics systems such as data handling for the payloads and caution and warning alerts to the crew. Recently, a process to selection the optimal commercial-off-the-shelf (COTS) real-time operating system (RTOS) for the CAU was conducted by United Space Alliance (USA) Corporation, which is a joint venture between Boeing and Lockheed Martin, the prime contractor for space shuttle operations.In order to independently assess the RTOS selection, NASA has used the Bayesian network-based scoring methodology described in this paper. Our two-stage methodology addresses the issue of RTOS acceptability by incorporating functional, performance and non-functional software measures related to reliability, interoperability, certifiability, efficiency, correctness, business, legal, product history, cost and life cycle. The first stage of the methodology involves obtaining scores for the various measures using a Bayesian network. The Bayesian network incorporates the causal relationships between the various and often competing measures of interest while also assisting the inherently complex decision analysis process with its ability to reason under uncertainty. The structure and selection of prior probabilities for the network is extracted from experts in the field of real-time operating systems. Scores for the various measures are computed using Bayesian probability. In the second stage, multi-criteria trade-off analyses are performed between the scores.Using a prioritization of measures from the decision-maker, trade-offs between the scores are used to rank order the available set of RTOS candidates.

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COTS Score: an acceptance methodology for COTS software

Cited by 11 publications

References 4 publications

DDS Based High Fidelity Flight Simulator

DDS Based High Fidelity Flight Simulator

How Agile COTS Selection Methods are (and can be)?

Space Shuttle RTOS Bayesian network

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