Articles

Phone with apps B2B Mobile Apps: Why Stability and Reliability Represent the Key Metrics for Success

Today, software vendors continue to rush the development of new B2B apps in order to capture a share of this ever-expanding market. However, it’s crucial to recognize what it takes to achieve success. In a competitive environment with high expectations, you must deliver a user-friendly app with consistent business value and reliable experiences. 

James Smith's picture James Smith
Icon of a dial showing good system performance Measuring the Performance of Your Operations Center

Many organizations have problems with consistently tracking and measuring system outages. Issues aren't logged, admins make changes to systems without going through change management, and a high number of issues turn out to be recurring problems. Implementing a performance measurement process calculates system reliability and can help you improve consistency.

Nels Hoenig's picture Nels Hoenig
Image of lock over code DevSecOps: Incorporate Security into DevOps to Reduce Software Risk

DevSecOps is a growing movement to incorporate security into DevOps practices in order to ensure flaws and weaknesses are exposed early on through monitoring, assessment, and analysis, so remediation can be implemented far earlier than traditional efforts. By failing fast with security testing, organizations reduce risk of a security incident and decrease the cost of rework.

Alan Crouch's picture Alan Crouch
Myth 26: It’s Fine to Micromanage Management Myth 26: It’s Fine to Micromanage

Johanna Rothman explains the challenges and pitfalls of micromanagement. Sometimes, managers micromanage when they need information. In that case, it’s easier to create an information radiator rather than have the manager come running to you every thirty minutes.

Johanna Rothman's picture Johanna Rothman

Better Software Magazine Articles

The Benefits of Early Performance Testing

By incorporating performance testing early in a project lifecycle, software projects have a better chance to reach better quality and meet customer expectations. Baljeet Bilkhu shows the value of early performance testing.

Baljeet Bilkhu's picture Baljeet Bilkhu
Planning to Performance Test Your App? Think Again!

To complement functional validation, software teams are expected to validate performance. But, according to Jun Zhuang, you must be prepared to invest time, personnel, and resources to benefit from performance testing.

Jun Zhuang's picture Jun Zhuang
Are You Done or Done-Done?

Probably one of the most frustrating roles a manager has to master is how to know the true status of work being performed. To a developer, completing 80 percent of the work may be good enough, but is it  even close to being really done? Masha Nehme shows techniques you can use to verify task completion.

Masha Nehme's picture Masha Nehme
Monetization 2.0: The Evolution of Software Licensing

The cloud and the rapid migration to mobile devices and the Internet of Things have made traditional software licensing schemes obsolete. Omkar describes new software monetization based on business, pricing models, and usage.

Omkarnath Munipalle's picture Omkarnath Munipalle

Interviews

Scott Barber writes about performance testing Useful Metrics and the Problem with Performance Testing Programs: An Interview with Scott Barber
Video

Scott Barber is the chief performance evangelist for SmartBear and an author of several books, including Performance Testing Guidance for Web Applications. In this interview, Scott chats about useful test metrics, communication, and the problem with performance testing programs.

Jonathan Vanian's picture Jonathan Vanian

Conference Presentations

STAREAST 2018 Machine Learning and Data Science for Quality and Performance Engineering
Slideshow

Managing the quality and performance of complex systems requires more than simply executing test cases and running load tests. You need to perform careful analysis of test results and production metrics. The sheer amount of data generated in production and testing makes analysis a huge challenge that is often left wanting. With the magic of machine learning (ML) and the application of data science techniques, you have the opportunity to derive valuable and actionable information from big data. Gopal Brugalette shares the basic concepts behind ML, covering clustering, classification, and predictive analysis. He shows you how to implement algorithms using open source tools and languages like Python and R.

Gopal Brugalette
BSE Testing It's All in Your Head: Use Neuroscience to Improve Performance
Slideshow

We humans process millions of bits of information each day. In order to handle that data load, our brains have developed shortcuts to take advantage of patterns, shared knowledge, and experience. Unfortunately, sometimes those shortcuts lead us astray, causing us to draw inaccurate...

Faye Thompson
BSE Testing Agile Performance Holarchy (APH)—A Model for Scaling Agile Teams
Slideshow

A hierarchy is an organizational network that has a top and a bottom, and where position is determined by rank, importance, and value. A holarchy is a network that has no top or bottom and where each person’s value derives from his ability, rather than position. As more companies seek the...

Jeff Dalton
STARCanada Logo Performance Testing in Agile and DevOps Environments
Slideshow

As organizations embrace agile and DevOps delivery models, non-functional performance testing becomes a challenge. While functional validation continues to mature in Agile, many organizations are either struggling to integrate application performance into the delivery model or are...

Syed Hossain

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