Many managers and distributed team members think that if they just had the right tools, they could make some agile approach work. Maybe, but tools only enhance the work of a collaborative agile team. Before you select tools, make sure you have people who can work together and have enough skills and capabilities for your distributed team. Tools do not make the team; they support the team.
Agile teams can easily get puzzled by the heated debate happening between advocates for estimation and those in the #NoEstimates camp. However, by comparing how they solve these problems, we can identify many common practices between the two groups and see they are not truly at odds—they actually complement each other. Let's bridge the gap.
DevOps is more than adopting the right set of tools; it's a cultural shift that incorporates testing at each stage of the agile project lifecycle. Continuous testing is key to unlocking this culture change because it weaves testing activities into every part of the software design, development, and deployment processes, which helps everyone involved communicate more, collaborate better, and innovate faster.
A lot of what agile teams do can be used effectively outside software development teams, and even outside the typical business organization. For instance, retrospectives and the practice of talking about what went well, what you should keep doing, and what can be improved can be applied anywhere—even to families. Read on to learn how to bring continuous improvement into your daily life.
For years, developers have struggled with using individual lifecycle management tools, but no longer! Joe Farah walks you through a history and benefits of an integration of ALM tools that every team should seriously consider.
NoSQL is a new approach to data storage that addresses many problems associated with relational databases. Many highly popular websites—including Facebook, Netflix, and Digg—are using NoSQL to crunch large volumes of data. Eugene Dvorkin gives us insight into why NoSQL is important and what CM experts need to know about it.
It seems like every week the press has yet another story about security breaches or stolen data at some of the world’s largest companies or government agencies. Sometimes the responsibility for ensuring thorough security resides with an IT security group, and other times it gets outsourced altogether. The responsibility seldom falls to testing teams. However, this is changing. Having trained and experienced testers hunt for security bugs will make web applications safer from hackers and will further protect consumers, corporate assets, and brands.. Scott Aziz offers some practical techniques that will help you get started.
In the first installment of this article, Dr. James Whittaker discussed turning testing on its head—to revitalize and improve the value of late-stage testing. James also discussed ideas behind empowering your dogfooders, testers, and the crowd to significantly and efficiently improve software quality. In part two, Jason Arbon discusses the research and engineering experimentation behind realizing these ideas into new tools and processes.
Melissa Benua, a senior technical lead at mParticle, discusses the wide range of topics she will present at the STARWEST conference, including continuous integration, containers, and process management. She also shares details of the projects her team is working on with deep back-end core features, qualities, and dev tools. Melissa also talks about her involvement with Women Who Test, why she made sure to expose her kids to the events at a young age, and how it reinforces the importance of a work-life balance.
Greg Paskal, test automation lead at Ramsey Solutions, talks about data lakes and how to effectively use data visualization. Done well, data visualization should help practitioners, managers, and stakeholders easily consume, understand, and act on the information the visual displays.
In this interview, Greg Paskal, a technology innovator in quality assurance, discusses a new open source tool from Elastic Stack that creates a “data lake” that can be mined to analyze the data coming from test automation on a more effective level than pass/fail.
In this interview, Cher Fox, of Fox Consulting, explains why test automation is essential for agile data teams' success. However, there are many other items to consider and address before implementing test automation. You may be able to get started with tools you already have.
The tools and technologies our teams rely on to build solutions are changing faster every day. New frameworks, new tools, transformations to DevOps, and migrations to public cloud are all putting strain on our teams.