What Are Your Metrics Trying to Tell You? What Are Your Metrics Trying to Tell You?

Joanne Perold writes that you cannot just look at the numbers; the context behind the data is often far more valuable. Metrics can tell a compelling story or provide meaningful information to anyone who wants to pay attention, but when the focus is only on the number, it can be a disaster.

Joanne Perold's picture Joanne Perold
STARCANADA 2013: Quantifying the Value of Static Analysis

During the past ten years, static analysis tools have become a vital part of software development for many organizations. However, the question arises, “Can we quantify the benefits of static analysis?” William Oliver presents the results of a Lawrence Livermore National Laboratory study...

William Oliver, Lawrence Livermore National Laboratory
Strength in Numbers: Using Web Analytics to Drive Test Requirements

Once a client’s website is built, you’d think it would be time for a well-deserved break. However, almost immediately, questions come up—can we capture a larger audience? close more orders? increase our sales? And so, it’s time to redesign the site—and the test strategy and plans...

Lindiwe Vinson, Organic, Inc.
Taking the Risk: Exploration over Documentation

The loudest voice in the room might push for a stable, predictable, repeatable test process that defines itself up front, but each build is different. An adaptive, flexible approach could provide better testing in less time with less cost, more coverage, and less waste.

Matthew Heusser's picture Matthew Heusser
Estimating in Software Development: No Silver Bullets Allowed

What do poker, Greek oracles, an Italian mathematician from the Middle Ages, and the path of hurricanes have in common? Given the title of this presentation, chances are it has something to do with estimation, and you'll have to attend this session to get the full connection. Kent McDonald explores the challenges and realities of trying to estimate software-related knowledge work-analysis, testing, development, and the entire project effort. A major challenge is that there are no guaranteed ways to arrive at perfectly accurate estimates, which not surprisingly is why they are called estimates. Kent introduces and gives you a chance to practice quick and practical estimating techniques that will work in different situations-guesstimating, break it down and add it up, and planning poker.

Kent McDonald, Knowledge Bridge Partners
Risk Analysis for Test Managers

Risks are endemic in every step of every software project. A well-established key to project success is to proactively identify, understand, and mitigate these risks. However, risk management is not the sole domain of the project manager, particularly with regard to product quality where test managers and testers can significantly influence the project outcome. Julie Gardiner demonstrates how to evaluate and mitigate product risk from a testing perspective. She describes different approaches to risk management, the benefits of each, and how to use them. With an understanding and appreciation for product risk analysis, the test manager and team can then assess which testing approaches and techniques they should apply to reduce these risks. Julie demonstrates an easy way to report on progress to business management and stakeholders using product risk as its basis.

Julie Gardiner, Grove Consultants
Once Upon A Retrospective

Children can teach us some extremely profound things--often when we least expect it. Jennitta Andrea shares sage advice about project retrospectives that she learned while perusing the well-known children's stories on her daughter's bookshelf. These insights will help improve the way you plan, facilitate, and participate in project retrospectives.

Jennitta Andrea's picture Jennitta Andrea
Usability Testing in a Nutshell

Because systems are now more complex and competition is extreme, testing for usability is crucial for ensuring our products not only stand out from the crowd but even exceed our customer's expectations. As testers, we often encounter requirements such as "The system must be user-friendly." What does this mean? And, more importantly, how do we test against this vague notion? Join Julie Gardiner as she presents usability testing techniques to help evaluate system efficiency, effectiveness, and user satisfaction. Take back a toolkit full of usability testing techniques-heuristic evaluation, cognitive walkthrough, focus groups, personas, contextual task analysis, usability labs, and satisfaction surveys-for your next testing project. Learn how to define usability goals and how to get your development team to take usability issues seriously. If you want to improve your confidence in usability testing, this session is for you.

Julie Gardiner, Grove Consultants
Crowdsourced Testing: An Emerging Business Model

Crowdsourced testing has emerged as a startlingly effective by-product of social networking. Manoj Narayanan describes how many organizations are leveraging crowdsourcing to reduce testing costs and increase product quality. They are learning that the value of crowdsourced testing can differ significantly based on whether you are testing a web application, mobile device, or gaming app. To help you evaluate the benefits and constraints, Manoj compares the business model crowdsourced vendors are adopting to traditional testing approaches. Explore how crowdsourced vendors are now focusing on vertical integration through partnerships with both cloud-based infrastructure services and on-demand testing tool vendors to improve ROI. Manoj concludes by exploring how greater integration between social networking and crowdsourcing can further enhance the testing business model.

Manoj Narayanan, Cognizant Technology Solutions
Exploratory Validation: What We Can Learn from Testing Investment Models

Over the past few years, the airwaves have been flooded with commercials for investment-support software. Do your research with us, they promise, and you can make scads of money in the stock market. How could we test such a product? These products provide several capabilities. For example, they estimate the value or direction of change of individual stocks or the market as a whole, and they suggest trading strategies that tell you whether to buy, hold, or sell. Every valuation rule and every strategy is a feature. We can test the implementation of these features, but the greater risks lie in the accuracy of the underlying models. If you execute the wrong trades perfectly, you will lose money. That's not a useful feature, no matter how well implemented.

Cem Kaner, Florida Institute of Technology


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