Noticias de ultima
  • 12.00 iGB L!VE announce LaunchPad, a new feature for start-ups with ‘innovation in their DNA’
  • 12.00 Growth and satisfaction on the latest edition of Peru Gaming Show
  • 12.00 Hard Rock awaits Senate to set up casino hotels in Brazil
  • 12.00 Wingaga: new Pay4Fun integration
  • 12.00 Beyond Ontario: Canadian Gaming Summit Returns with a Pan-Canadian Twist
  • 12.00 Goodbye to Far West?: New law regulates online gambling in Chile
  • 12.00 EGT’s latest multigame Bell Link 2 with a debut in Merit Royal Casino in Northern Cyprus
  • 12.00 Controversy: the Swedish Gaming Authority vs The Administrative Court
  • 12.00 The exclusive Zitro Experience Event celebrates growth in Perú
  • 12.00 Internationally acclaimed Mo’ Mummy™ Game by Aristocrat Gaming™ debut at Trilenium Casino in Buenos Aires
Online Games

Role Of AI And Machine Learning In Software Testing

Tuesday 11 de December 2018 / 10:51

2 minutos de lectura

(Republic of Armenia).- The changes in the digital economy have become more apparent than ever and made an impact on the software testing industry as well. As consumers have become more demanding and impatient, software development and testing can’t keep up using traditional methods and practices. A speedier delivery has become mandatory, and one of the best and most efficient ways to achieve this is to embrace machine learning and AI as part of software testing practices.

Role Of AI And Machine Learning In Software Testing

Solving the main challenges of traditional software testing

Traditional software testing used to be a simple manually performed task where the tester would use a system as a potential end-user would, go through a list of actions and steps, then compare results with expectations to check if the system is working as intended or has bugs. Nowadays, this has become almost impossible to do this manually because systems are becoming more complex and testers are facing huge amounts of data they need to check and handle in a very short and limited period.

When faced with increased amounts of data and shortened times, testers are more likely to make assumptions, overlook bugs and green-light a faulty software. The result is shipping a buggy system, which usually turns happy users into frustrated ones, and even worse hurts the brand’s reputation.

Luckily, testers have technology on their side as well and can apply a new, automated and more efficient approach – one that combines machine learning, artificial intelligence, and predictive analysis.

The machine learning and AI approach, which teaches systems to learn while they do, and apply the acquired knowledge in the future, makes software testing not only faster, but also more precise. This is because automated AI-powered testing systems have the ability to learn without human intervention or complex programming.

The testing systems should improve from experience, automatically access data, run tests with it, learn from the results, and as a result improve the quality of the tests by learning patterns and predicting problems. What is even better, regardless of how much the amount of data increases, machine learning and AI-powered testing can handle it, with the margin of error decreasing constantly.

Moreover, as market demand grows, it is important for enterprises to be able to predict customers’ needs more accurately. And machine learning and predictive analysis offer businesses the opportunity to analyze and understand customers better so they can predict what new products or features to develop. This is also necessary for having an uninterrupted and shorter testing process that leads to creating solutions that offer improved user experience.

Is AI the future of software testing?

AI and machine learning have become an increasingly important component of software testing and QA. It gives testers the opportunity to better understand the end-users’ needs, compare them to the software’s features and options, and react faster to changing market expectations.

In order to improve software quality, release software faster and scale-up activities, enterprises need to seriously consider automating their software testing. This new approach is set to fill in the gaps of traditional software testing methods, make the whole process more efficient, and most importantly, deliver results more relevant to end-users’ needs.


Categoría:Online Games

Tags: Digitain, online gaming, Casino Online, betting software, Sports Betting, Sports Gaming , Sportsbook ,

País: Armenia



09 de April 2024

EGT & EGT Digital impressed at GAT Expo 2024 showcasing their innovative iGaming solutions

(Cartagena de Indias, SoloAzar Exclusive).- Ms. Silviya Marinova, Director of EGT Colombia, granted an interview to SoloAzar about the performance of the firm at the latest edition of GAT Expo Cartagena. She spoke about the highlights of the tradeshow, the latest innovations showcased including the Phoenix slot cabinet and the all-in-one betting platform X-Nave. She also remarked the importance of their presence in the iGaming Colombian market.

Wednesday 22 May 2024 / 12:00

Casino Garage: committed to sustainability

(Cartagena de Indias, Exclusive SoloAzar) - Meet Ester Tarres, the visionary behind Casino Garage, a world leader in refurbishing second-hand slot machines since its creation in 2006. With a team of professionals, Casino Garage has become synonymous with excellence. In this article, Ester tells us about her presence at the GAT Expo, held from 9 to 11 April.

Tuesday 07 May 2024 / 12:00

Responsible Gaming, Regulation and Certification in Latin America and the Caribbean

(Cartagena de Indias, Exclusive SoloAzar). - Karen Sierra-Hughes, Vice President for Latin America, the Caribbean and Spain at GLI (Gaming Laboratories International), led the GLI Corporate Conference: Technology and Sustainable Gaming. With her extensive experience as a gaming regulatory consultant in the region, Karen offered key perspectives on how technology can drive sustainability in the gaming industry.

Tuesday 07 May 2024 / 12:00


Para suscribirse a nuestro newsletter, complete sus datos

Reciba todo el contenido más reciente en su correo electrónico varias veces al mes.