Software Testing

  Digital technologies in their entirety have transformed the way businesses are conducted, products are developed, tested, and deployed, and communication is done. With enterprises looking to advance the cause of customer experience to its optimal level, the complexity of software has been rising. Although positive business outcomes due to the implementation of digital technologies have encouraged more investments, the specter of software defects looms large. It has increased the average cost of downtime for a single hour to the tune of $100,000, as per an ITIC study. Also, as per Apigee, about 44 percent of users delete an app immediately if it doesn’t perform well. According to Google, 48 percent of users opined that a poorly performing site or app meant the company or brand didn’t care. There are numerous instances of companies being forced to pay large sums of money to compensate users for poor service. So, to increase software reliability, predicting and preventing software d...

Change is the only constant, so goes the saying, wherein businesses across domains and geographies need to change and adapt for a host of reasons. These include the need to stay competitive, deliver better user experiences, control costs, launch new products or services, comply with regulations, and others. Digital transformation has become the mantra for businesses to deliver business value, strengthen brand equity, and drive customer loyalty, to name a few goals. It involves making incremental changes to the application landscape, transforming the organization’s culture as mandated by Agile-DevOps, and implementing technologies to speed up delivery and improve quality. Digital transformation involves taking an application modernization approach combined with quality engineering to change the existing processes and methodologies. It leads to building intelligent workflows, removing silos, enhancing collaboration, and accelerating time-to-market. According to Statista, global spending ...

  Software testing has assumed significance to make the software glitch-free and more amenable to users. Software testing has become an integral part of the Agile-DevOps model of software development. Given the inadequacies of manual testing in validating repetitive and voluminous codes, test automation has assumed salience. It helps reduce testing efforts and time, especially when the testing involves multiple devices, platforms, and environments. Any enterprise process automation is guided by a few principles to make the activity worth the effort. The 7 principles guiding any test automation activity are discussed below. The Top 7 Principles of Test Automation The objective of test automation services is to ensure the build to be tested is stable, risk-free, and clear of any glitches. Using a minimal number of resources, test automation can achieve results that are not possible to conceive let alone achieve. The 7 principles to guide test automation are: 1.Improve quality: As a...

  The customer experience is the lynchpin for the success of any digital offering. In the era of competitiveness, businesses are vying with each other to get a bigger pie of customers and revenues. However, given the heightened customer expectations for quality software products and services, brands are under pressure to perform. They need to create personalized customer experiences and elevate interactions using technologies such as conversational AI. For the past few years, the customer support function has been disrupted by conversational AI solutions. It is believed that AI services for customer interactions will reach $15 billion in revenue by 2024. Also, around 20% of customer interactions are expected to be handled by conversational AI bots by 2022. Enterprises can utilize artificial intelligence services in the form of bots to provide personalized engagements, respond promptly to customer queries, and drive higher operational efficiency. In this blog, we look at the benefit...

  With the maturing of technologies such as Artificial Intelligence (AI), organizations have begun to understand the plethora of opportunities and challenges it offers. The opportunities could be in the form of upselling, deriving insights into user behavior, better decision-making, value extraction, saving time, optimizing processes, increasing operational efficiencies, and others. In the same vein, the challenges could be in the form of AI integration, finding the right balance, pricing, data security and storage, data quality, niche skillset, and others. Businesses could be tempted to overuse AI just because it is the latest trend and end up being disappointed by the results. On the contrary, underutilizing it could mean missing out on the latest innovation. Implementing AI in these processes could garner business outcomes such as augmenting intelligence, creating value at scale, and managing decisions and risks. However, businesses need to assure themselves that the AI models a...