Oredola Soluade

Security Breaches, Network Exploits and Vulnerabilities: A Conundrum and an Analysis

Enterprise systems are continuously on cyberattacks as struggle for solutions are sort. Today, these organizations spend over

An Analytic Framework for Assessing Automobile Sales Loss from Recalls: A Toyota Case Study

70 billion on IT security, but are unable to protect the organization since cyber criminals routinely discover exploits and breach those defenses with zero-day attacks that bypass traditional technologies. These attacks occur during the vulnerability window that exists in the time between when a loophole is first exploited and when software developers start to develop and publish a counter to that threat. Many organizations had been breached by the zero-day attack concept. This means that at least one attacker had bypassed all layers of organization defense-in depth architecture. Using data from our survey of 202 participants, this study analyses how attacks are changing the cyber platform and why traditional and legacy defenses are functioning below par and expectations.

Assessing sales loss from automobile recalls: a Toyota case study

Article describes the experimental method of acoustic pressure amplitude-frequency response measurement in resonator of thermoacoustic refrigerator with electromechanical generator of acoustic oscillations. Based on the results obtained the nonlinear mathematical model of thermoacoustic refrigerator with electromechanical generator is synthesized using the statistical methods of construction and evaluation of pairwise dependencies. The resonance frequency identification algorithm for thermoacoustic system parametric optimization is developed using the obtained mathematical model. Experimental verification of the proposed resonance frequency identification algorithm is considered.

Regression testing using orthogonal defect classification in a quality assurance environment

Automobile companies recall vehicles whenever they are perceived to have defects that affect safety. Since market responses to a product recall may be different depending on the size of cars in the recall, the analysis separated the recalls into major events with more than 500,000 cars per recall, and minor recalls with less than 500,000 cars per recall. In this paper, the impact on sales was measured in order to understand the customers reaction under these circumstances. The well-publicised recalls in November 2009 and January 2010 are the focus of this study. The paper also investigates the impact of the recalls on the Japanese auto industry, as well as stock market performance of Toyota. The conclusion from the model indicates that major recalls have a negative impact on the market share with a three-month lag, while minor recalls showed a positive impact on the market share after four months. However, its impact on the stock market performance is immediate and shows no evidence of lagging effect for stock prices. Analysis on Japanese auto industry identifies that the market share trajectories of Honda and Toyota shows similar patterns which suggests that consumer perceptions of these companies are similar.

An assessment of orthogonal defect classification in quality assurance

In an environment where software development is expanding in scope, it is necessary to develop new techniques that can be used to identify defects in a product, while at the same time keeping the cost of product certification to a minimum. For the initial deployment of any software, there is no way to get around performing a complete test of the product. However, subsequent iterations of software development require complete testing of the new features, and regression-testing of the existing features using orthogonal defect classification. Random sampling techniques may also be used; but unless they are properly designed, run the risk of not being adequately representative of the whole array of test cases. Using orthogonal arrays, we can break the test cases down into categories, thereby reducing the amount of testing without sacrificing the quality of the deliverables.

An assessment of orthogonal defect classification and acceptance sampling in quality assurance

There are several techniques for testing application software for quality assurance. The most reliable technique is to perform a complete exhaustive testing. Another technique is regression testing. Under regression testing, the complete suite of test cases need not be executed. Only a subset of the test cases is required. One possible approach is to identify the most critical features of software, and place more emphasis on those. Another approach is to develop a statistical procedure for identifying critical test cases. A third approach is to use the orthogonal defect classification (ODC) technique. This paper focuses on the use of these techniques in the design and execution of the test plans.

Evaluation of Professional Quality Reports for U. S. Automotive Market between 2001 and 2012

There are several techniques for testing application software for quality assurance. One possible approach is to identify the most critical features of software, and place more emphasis on those, while putting less emphasis on the not-so-critical features. Another approach is to develop a statistical procedure for identifying which test cases to perform, without necessarily identifying which ones are critical, and which are not. Such random selection leads to a more representative sample of the overall features of particular software, and defects identified are presumed to be proportionate with the proportion of defects that would have been identified based on complete exhaustive testing. A third approach is to use the technique of Orthogonal Defect Classification (ODC). This technique is used to develop a model that breaks down all the features of the AUT into categories, then with the aid of standard orthogonal arrays, selects which test cases to run.