BY LOGIGEAR STAFF
At LogiGear, we want to provide you with the best tools and support for testing your applications. To do so, we are seeking answers to crucial questions in the software testing industry. More »
For leaders and managers in the post Agile development world there has been a fundamental shift in how staff are managed, directed and supported. This shift is catching up with the modern More »
To adapt with the fast software delivery pace in today’s world, the same automation test suites should be able to run on a range of various platforms: different Operation System versions, different More »
As our world continues its digital transformation with excitement in the advancement and convergence of so many technologies- from AI, machine learning, big data and analytics, to device mesh connectivity, nor should More »
Our plan for the December LogiGear Magazine was to have a forward-looking Trends and Challenges issue. However, whilst assembling our September issue on SMAC, we realized the momentum SMAC was gaining in the industry. We had a large amount of content on our hands from a range of excellent contributors. Thus, we decided to split the SMAC stack in two parts: Part 1: Social and Mobile in September and now, Part 2 Analytics and Cloud in December.
By Evgeni Kostadinov
To start with, we need a Test schedule. The same is created in the process of developing the Test plan. In this schedule, we have to estimate the time required for testing of the entire Data Warehouse system. There are different methodologies available to create a Test schedule. None of them are perfect because the data warehouse ecosystem is very complex and large, also constantly evolving in nature. The most important takeaway from this article is that DW testing is data centric, while software testing is code centric. The connections between the DW components are groups of transformations that take place over data. These transformation processes should be tested as well, to ensure data quality preservation. The DW testing and validation techniques I introduce here are broken into four well defined processes, namely:
By Deepanshu Argawal
Convergence of Social Media, Mobile, Analytics, & Cloud [SMAC] is one of the hottest trends these days. It is a major business agenda forcing organizations to rethink their strategies and increase technology investments in this direction.
In the last issue on testing the SMAC stack we talked about the social and mobile aspects of testing. We will be referring to them in this article. In this issue part 2, we focus on the Analytics and Cloud aspect. The goal of this article is to understand a simple landscape of analytics and cloud.
I have been leading and managing software projects for a long time. Measuring the product and process has always caused great consternation. At its worst we measured everything that we could possibly measure. We measured so many things that, in the end, I always doubted whether it led to higher quality software, or process improvement, when in actuality it was to make managers feel “safer”. Of course someone always had to keep track that the bugs got closed and the priority of deferred bugs, but in most cases the extent to which companies tracked and made reports on those bugs was far greater cost in time than the benefit we got from them. I remember the days when Friday afternoon was compiling all kinds of numbers and measurements and metrics. All the test case and bug measures. Test cases executed, tests yet to execute. Automation runs. Passes and fails. New bugs open, bugs close rates. Find fix rates. Metrics reports turned into dashboards distributed to the team- ignored by most. Few metrics on the dashboard were even discussed. Did it really lead to higher quality?
Michael Hackett and Stephen Copp
Anki’s Stephen Copp and LogiGear’s Michael Hackett discuss the new reality of game testing, the skills involved and where game testing is going in an online webinar that happened earlier this month.