Experiences with Cloud Technology to Realize Software Testing Factories

2015 ◽  
pp. 689-715
Author(s):  
Alan W. Brown
Keyword(s):  
Software Testing ◽  
Software Quality ◽  
Real World ◽  
Enterprise Software ◽  
Future Directions ◽  
Cloud Technology ◽  
Delivery Approach ◽  
Intended Use ◽  
Testing Efficiency

In enterprise software delivery, the pursuit of software quality takes place in the context of a fundamental paradox: balancing the flexibility that drives speed of delivery with the rigor required to verify that what is being delivered is complete, correct, and appropriate for its intended use. One common approach to address this concern is to create “software testing factories” with the aim of increasing testing efficiency by standardizing and speeding up delivery of testing services. To achieve this balance, software testing factories are turning to cloud-based infrastructures as an essential delivery approach. Cloud technology exhibits characteristics that make adoption of software testing factories particularly attractive: elasticity of resources, ease of deployment, and flexible pricing. In this chapter, the author examines the role and structure of software testing factories and their realization using cloud technology, illustrates those concepts using real world examples, and concludes with some observations and a discussion on future directions.

Experiences with Cloud Technology to Realize Software Testing Factories

2012 ◽  
pp. 1-27 ◽  
Author(s):  
Alan W. Brown
Keyword(s):  
Software Testing ◽  
Software Quality ◽  
Real World ◽  
Enterprise Software ◽  
Future Directions ◽  
Cloud Technology ◽  
Delivery Approach ◽  
Intended Use ◽  
Testing Efficiency

In enterprise software delivery, the pursuit of software quality takes place in the context of a fundamental paradox: balancing the flexibility that drives speed of delivery with the rigor required to verify that what is being delivered is complete, correct, and appropriate for its intended use. One common approach to address this concern is to create “software testing factories” with the aim of increasing testing efficiency by standardizing and speeding up delivery of testing services. To achieve this balance, software testing factories are turning to cloud-based infrastructures as an essential delivery approach. Cloud technology exhibits characteristics that make adoption of software testing factories particularly attractive: elasticity of resources, ease of deployment, and flexible pricing. In this chapter, the author examines the role and structure of software testing factories and their realization using cloud technology, illustrates those concepts using real world examples, and concludes with some observations and a discussion on future directions.

scholarly journals A Survey on Bias and Fairness in Machine Learning

2021 ◽  
Vol 54 (6) ◽  
pp. 1-35
Author(s):  
Ninareh Mehrabi ◽  
Fred Morstatter ◽  
Nripsuta Saxena ◽  
Kristina Lerman ◽  
Aram Galstyan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Real World ◽  
State Of The Art ◽  
Future Directions ◽  
Discriminatory Behavior ◽  
Real World Applications ◽  
Near Future ◽  
Different Sources

With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems. AI systems can be used in many sensitive environments to make important and life-changing decisions; thus, it is crucial to ensure that these decisions do not reflect discriminatory behavior toward certain groups or populations. More recently some work has been developed in traditional machine learning and deep learning that address such challenges in different subdomains. With the commercialization of these systems, researchers are becoming more aware of the biases that these applications can contain and are attempting to address them. In this survey, we investigated different real-world applications that have shown biases in various ways, and we listed different sources of biases that can affect AI applications. We then created a taxonomy for fairness definitions that machine learning researchers have defined to avoid the existing bias in AI systems. In addition to that, we examined different domains and subdomains in AI showing what researchers have observed with regard to unfair outcomes in the state-of-the-art methods and ways they have tried to address them. There are still many future directions and solutions that can be taken to mitigate the problem of bias in AI systems. We are hoping that this survey will motivate researchers to tackle these issues in the near future by observing existing work in their respective fields.

Protecting a whale in a sea of phish

2020 ◽  
Vol 35 (3) ◽  
pp. 214-231
Author(s):  
Daniel Pienta ◽  
Jason Bennett Thatcher ◽  
Allen Johnston
Keyword(s):  
Information Security ◽  
Real World ◽  
Spillover Effects ◽  
Directed Attention ◽  
Future Directions ◽  
Security Research ◽  
Email Message ◽  
Multiple Domains ◽  
Future Information

Whaling is one of the most financially damaging, well-known, effective cyberattacks employed by sophisticated cybercriminals. Although whaling largely consists of sending a simplistic email message to a whale (i.e. a high-value target in an organization), it can result in large payoffs for cybercriminals, in terms of money or data stolen from organizations. While a legitimate cybersecurity threat, little information security research has directed attention toward whaling. In this study, we begin to provide an initial understanding of what makes whaling such a pernicious problem for organizations, executives, or celebrities (e.g. whales), and those charged with protecting them. We do this by defining whaling, delineating it from general phishing and spear phishing, presenting real-world cases of whaling, and provide guidance on future information security research on whaling. We find that whaling is far more complex than general phishing and spear phishing, spans multiple domains (e.g. work and personal), and potentially results in spillover effects that ripple across the organization. We conclude with a discussion of promising future directions for whaling and information security research.

scholarly journals Comprehensive study of software testing: Categories, levels, techniques, and types

2020 ◽  
Author(s):  
Mubarak Albarka Umar
Keyword(s):  
Software Testing ◽  
Software Quality ◽  
Testing Methods ◽  
Development Lifecycle ◽  
Software Development Lifecycle ◽  
Pros And Cons ◽  
Testing Techniques ◽  
Combination Of Methods ◽  
The Right ◽  
Comprehensive Study

<p><i>Software Testing is the process of evaluating a software program to ensure that it performs its intended purpose. Software testing verifies the safety, reliability, and correct working of software. The growing need for quality software makes software testing a crucial stage in Software Development Lifecycle. There are many methods of testing software, however, the choice of method to test a given software remains a major problem in software testing. Although, it is often impossible to find all errors in software, employing the right combination of methods will make software testing efficient and successful. Knowing these software testing methods is the key to making the right selection. This paper presents a comprehensive study of software testing methods. An explanation of Testing Categories was presented first, followed by Testing Levels (and their comparison), then Testing Techniques (and their comparison). For each Testing Levels and Testing Techniques, examples of some testing types and their pros and cons were given with a brief explanation of some of the important testing types. Furthermore, a clear and distinguishable explanation of two confused and contradictory terms (Verification and Validation) and how they relate to Software Quality was provided.</i></p>

The Future of Augmented Reality Gaming

2011 ◽  
pp. 367-383
Author(s):  
Bruce H. Thomas
Keyword(s):  
Augmented Reality ◽  
Real World ◽  
Future Directions ◽  
Real World Applications ◽  
The Future ◽  
Outdoor Augmented Reality ◽  
Indoor And Outdoor

Entertainment systems are one of the successful utilisations of augmented reality technologies to real world applications. This chapter provides my personal insights into the future directions of the use of augmented reality with gaming applications. This chapter explores a number of advances in technologies that may enhance augmented reality gaming. The features for both indoor and outdoor augmented reality are examined in context of their desired attributes for the gaming community. A set of concept games for outdoor augmented reality are presented to highlight novel features of this technology.

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