ZenTao Blog

ZenTao once again stands out from the crowd as the most common test management tool in the industry. This is the eighth year in a row that ZenTao has been the winner of "Common Test Management Tools"!

Before we dig down on to consider migration from Jira to ZenTao, let’s start with the basics, for business positions, who might be new to this. We’ll briefly introduce you to Jira, it’s the most popular alternative — ZenTao, and then touch base on the most common reasons, why businesses decided to move from Jira to ZenTao.

To build an efficient Agile team, managers should prioritize stability and cross-functional collaboration while recruiting T-shaped talents. This article outlines seven essential strategies, emphasizing effective communication, goal orientation, and a culture of self-management and continuous learning to overcome common project hurdles and enhance overall delivery.

The software industry has grown from simple programmers doing almost every job when creating software programs to one where there are many titled engineering specialists listed in job postings. For several years, the term “architect” has appeared in system, software and test job postings. This paper explores a software test architect's important knowledge and skills and why they are needed.

This article outlines ten common mistakes made by newcomers in automated testing to help them avoid unnecessary pitfalls. Key tips include defining the right scope, selecting appropriate tools, prioritizing code reusability, and evaluating ROI, while warning against the myth of achieving 100% automation.

This article introduces ZenTao's Process Templates as a solution to inefficiencies resulting from rigid, "one‑size‑fits‑all" project management practices. By providing customizable product and project templates, ZenTao supports tailored workflow standardization that adapts to diverse business needs—such as differences between hardware and software projects and varying approval levels—thereby improving collaboration efficiency, ensuring process control, and enhancing project delivery quality.

This article examines how artificial intelligence is reshaping project management by improving critical functions such as data-driven planning, risk prediction, and task automation. It illustrates real-world applications while also acknowledging challenges including skills shortages, ethical considerations, and workforce adaptation. The article promotes a synergistic human-AI partnership as essential for advancing the field in the era of intelligent management.

This article examines the necessity and value of structured R&D management in aligning innovation with corporate strategy. By tracing the evolution of R&D models and illustrating practices with ZenTao software, it demonstrates how effective management systems bridge the gap between research outcomes and business goals, optimize resource allocation, and foster sustainable innovation.

This article outlines a structured approach for companies to effectively manage both existing product maintenance and new product development concurrently. It presents four core strategies: achieving strategic alignment among stakeholders, defining clear product requirements, implementing closed-loop requirement management, and adopting flexible resource allocation. By integrating these components through holistic planning and dynamic governance, organizations can ensure their existing and new product lines work in harmony, supporting sustainable growth and operational stability in a competitive marketplace.

The hybrid waterfall model combines the structured, upfront planning of waterfall phases with the flexible execution of agile iterations, achieving a balance between control and adaptability. Tools such as ZenTao facilitate this dual-mode approach, empowering enterprises to manage complex projects more effectively by merging stability with responsiveness.

This article traces the evolution of software testing from its initial role in debugging to its establishment as an independent engineering discipline. It outlines key historical developments, explains core methodologies such as static/dynamic and black-/white-box testing, and describes the structured testing phases integrated into the development lifecycle. Finally, it highlights the modern role of testing in defect prevention and its alignment with Agile and DevOps practices.

This article examines event-driven lifecycle management as a contemporary alternative to traditional linear models in software architecture. By focusing on responses to specific events, this approach improves decoupling, resource efficiency, and real-time performance. The text elaborates on its implementation across business, platform, and communication layers, and discusses both its broad applications and inherent limitations.