“Software runs the world,” according to agile guru Robert Martin.
If that’s not quite true today, it will be tomorrow. Continued advances in robotics, big data and machine learning, coupled with ever cheaper and more compact CPU and memory, have extended the reach of software systems into every aspect of people’s lives. Complex algorithms and learning systems are taking over critical decisions that used to be made by people.
Some software is just fun or harmlessly useful. Systems help us develop and test other software. Software runs our dishwashers and our ovens, our home heating systems and our clothes washing machines.
The potential benefits of all this software are enormous. But so are the risks. With increasing complexity come systems that are difficult to understand, predict the outcomes of, and manage. Safety regulations and standards have not kept pace with the technological advances and sheer ubiquity of software systems. And some very complex and unregulated systems—such as those operating cars—are safety-critical.
Your car may have 100 million lines of software code conveying messages from your feet on the pedals, your hands on the wheel—and its own sensors—to the actual mechanical systems that (just barely) run the car. Such software is not always trouble-free. In one case, investigators of a popular car model found “spaghetti code” with software errors that could cause sudden unintended and uncontrollable acceleration. In another, hackers remotely took control of a car’s brakes and steering via its internet-enabled entertainment system.
Even regulated medical devices such as heart pacemakers have ways they can be hacked. And some experts are concerned that the vast connected electricity grid in North America could be at risk because of the multiplicity of contributing utilities, some of them small and not as cyber-security conscious as they could be.
In 2012, safety systems expert Nancy Leveson wrote, “We are attempting to build systems that are beyond our ability to intellectually manage.” We have built many more since then.
Where will testers be in a world run by software? What new skills and knowledge will we need?
Our roles are changing, but some things haven’t changed. Testers still know that there is no bug-free software. We know that a simple software error like a typo in code or a misinterpreted requirement can sometimes result in disaster. We have the mindset to imagine what could go wrong before a catastrophe happens and help to prevent it.
In this keynote talk, Fiona Charles will talk about what we can do to test for a safer world, and what we need to do to get there.
Continuous Delivery and Continuous Testing concepts are here for a while now. They sound nice and easy but in practice they are dirty and sometimes hard to apply because they require a sense of pragmatism and giving up to perfectionism. We still test unnecessary scenarios just to be sure and we still create unit tests just because this is what developers must do, and we are still looking for 100% test automation coverage just because this sounds seductive. The result: delayed releases, waste, downtimes, frustration.
In this talk, Dana Aonofriesei will present several software quality principles, according to her own personal discovery and research, which arise when applying Continuous Delivery, DevOps and Continuous Testing philosophies. She’ll show you ideas and examples of successful and concrete actions towards testing in the world of fast and continuous delivery.
The Futureproof Tester: How to deal with blockchain-based applications
Blockchain is open source, decentralized and disruptive. Due to the cryptocurrency hype, an explosion is expected for software using this technology in 2018 and mainstream use by 2023.
Testers need to be ready to assess specific risks associated with software based on decentralized tokens like Bitcoin and Ethereum. We need to be future-proof!The main feature of this technology is decentralization. It’s book-buying without Amazon, taxi-sharing without Uber and especially it will be software development without outright ownership of a database.
In this talk, Saane Visser will show testers how to stay ahead of the game and not get disrupted from the business. She will explain the unique risks of decentralized applications (dApps) using familiar attributes availability, integrity, maintainability, etc. and will show you how to take advantage of this, develop a new specialism, and become a blockchain tester!
Sanne will share her excitement about blockchain, where you will become familiar with the building blocks for testers, understanding the blockchain framework. After this talk, you will have a solid framework for assessing dApps, where you will be able to explain the trade-offs between traditional databases and decentralized databases. But most of all, you’ll leave this talk being excited about blockchain and its potential.
CognitiveQA: Artificial Intelligence assistants for testing, the new reality!
Artificial assistants with the intelligence to learn, evaluate alternatives and make decisions are now-a-days an expanding reality, that have so much potential for different areas. Can you imagine an assistant with artificial intelligence to support the testing and quality of the software? Are you ready for this new reality?
The accumulation of data in the activities of development, testing, analysis of user experience, and customer support can be converted into analysable information with Business Intelligence (BI), thus opening the door to prediction, to the use of techniques of artificial intelligence (machine learning, neural networks, statistical components, etc.), and to test automation, to automatically attend the activities of quality assurance in an intelligent way.
Now-a-days we have enough experience (data accumulation) and reasoning ability to work with predictive models to automate actions conditioned to previous cognitive processes. With this, we can now select candidate tests to be automated, optimally allocate execution resources for iterations, prioritise the execution of test sets according to associated risk.
In this talk, Albert Tort will present an innovative CognitiveQA solution to increase the efficiency of your testing and to anticipate tests in iterative contexts and in DevOps environments.
Key factors of integrated test automation in DevOps
Agile approaches and the DevOps culture have transformed the testing activities and the software's own quality. We must reformulate both the objectives of the tests and how to conceptualize and implement them.
This presentation tries to expose the key elements that should guide the automation of tests to be integrated into a DevOps pipeline as well as the available options to approach the common difficulties of the test automation projects.
Microservice architectures have changed how companies develop and deploy applications, and have therefore in turn affected the testing process as well. New techniques have now emerged and others have been enhanced, while old testing techniques (used in monolith) drive us to a dead-end when we try to apply them to a microservices architecture.
In this master class, Alex Soto will introduce some testing techniques, such as service virtualization, contract testing and testing in production to increase deployment velocity from 1 week to N times per day and deploy each service independently without worrying about breaking the compatibility between services. He will show you several examples in Java but will also point out resources for other languages as well.
After this theoretical and live code session, you'll understand how to test microservice architectures and reduce the friction between trying to apply old testing techniques to a new paradigm.
Why software security has gotten worse? And what can we do about it?
As technology evolved, software security faced huge challenges and as the years passed, the world has seen drastic changes far too quickly. And along with these advancements, even black-hat hackers or malicious hackers have evolved also very well. Today, the internet is the place for everyone where hackers dwell almost all the time. Every day new applications are released to the web and users start using them and even get addicted to them due to outstanding UX. But, wait! Did someone think about the "security" layer of these applications? Well, we often don’t and most of the applications today suffer from "beggarly / bad security".
In this talk, Santhosh Tuppad will focus on the pitfalls of bad security and why software security has failed in a pretty way. He will also shed light on how your users may be facing bigger problems than you can imagine due to bad software that lacks security testing. He will also demonstrate some of the lethal problems that exist in the industry and will talk about technical impact, business impacts like reputation damage, revenue loss and a lot more.
Not only that, Santhosh won’t end his talk without some hacking demonstrations that will for sure wow you. Finally, he will tell you how you can start security testing from day 1 and start contributing in terms of building secure software.
From this talk, you will gain an understanding about the problems that a lack of security testing presents and you find out about tool-assisted security testing; performing security tests through questioning. After the talk, you will be able to start identifying risks and report common vulnerabilities giving you a feeling of “I can do this”.
Inside Innovation - How to start innovation in your organization
In a time when testing is a task as complex as development, companies need Test Engineers with a more ‘out of the box’ mind-set than usual. Testing is not done anymore by just using one ‘off the shelf tool’, but by combining, improving and innovating many of tools. Test architectures can be sometimes quite unconventional and unique. Having a creative and innovative mind is as important as having required technical knowledge and it’s safe to say that everyone agrees that innovation is the way forward.
In this talk, Cristiana Gusanu will decipher innovative thinking and will guide you on how to start innovating, showing you important tools which can be used to help you mind become more innovative. She will explain, in very simple terms, what are the main characteristics of the innovative thinking are and why productive thinking is what we should aim for.
Cristiana will then present a step-by-step guide on how to train our minds to become more innovative and more creative, explaining what to do to set the prerequisites for innovation and how to combine thoughts and force associations. She will finally cover a topic that stops most people from embracing the risk of taking an innovative path: failure!
From this talk, you will learn: - Techniques to model problems and discover new ways other than the classic approach to problem solving - An innovative thinking processes - Innovative thinking exercises, along with practical examples - How to use failure in innovation processes
Experts agree that the main challenges for DevOps appear around the adaptation of the human team to a new way of working based on constant communication and transparency. However, it is common to find companies that shift their attention to discussions on the technology to be implemented for DevOps, losing the focus of what is important. The DevOps platform must be complete, reasonably cheap and easy to implement and operate.
In this session, Fernando Pérez will present its new DevOps Suite that will help your teams to be productive quickly with a first level platform, completely in the cloud and natively integrated from the very beginning.
From this talk, you will get an insight of DevOps Micro Focus suite in the cloud that will help you in project management, manual tests, defects, deployment pipelines management, test automation, performance testing and application monitoring.
TDM in motion with icaria Lean Tester. Less time to prepare test data. More time to execute tests.
Do you spend too much time preparing data to test your applications? Do you have the impression that your data isn’t the right ones for your test case? Would you like to automate some test cases but suffer from data unavailability? Proper checking of the test results at database level is just too hard? Data quality in shared testing environments is a challenge?
You may not be aware of it but, if you regularly execute regression testing, you’ve come already a long way in achieving an efficient test data management.
If you answered Yes! to all or some of these questions, join us in our session and we’ll show you how to cut to cero data provisioning time and data result checking time with Icaria Lean Tester, the TDM platform developed by netZima.
And as a bonus feature, it includes powerful data masking capabilities, so you comply with GDPR.
★ Keynote: Evolving Role of Software Testers in the Era of DevOps, IoT, AI and UX
The world is changing rapidly, technology advances in the blink of an eye, systems are getting more and more complex, and businesses need to ‘innovate' to remain competitive in this challenging world. This brings out the ’Software Tester 2.0' model, which defines the evolving role of a software tester in the era of Complexity, Digitalization (IoT, AI, AR/VR), Agility and User Centricity.
In this challenging era, customer needs are also changing rapidly. Therefore, companies should change the way they think, the way they initiate and manage the change in their organizations. They need to adapt to change, focus on strategy, value and innovation. For this reason, the role of Software Tester stands at the heart of the future success for companies. For the last few decades, software testing is one of the fastest growing market instruments in the IT world, so as test automation. As more and more complex applications go into production; traditional software testing approaches failed to fulfill the needs, consequently organizations are looking for smart and easy solutions to address their testing requirements, especially in the new era of Internet of Things (IoT), Artificial Intelligence (AI) and User Experience (UX).
In this keynote talk, Baris Sarialioglu set’s out to assist software testers to carry out paradigm shifts in their mind-set about Software Testing and Software Tester's role. He’ll help you set practical standards for the future of the software testing profession, with a special focus on User Centricity, User Experience (UX) and Usability Testing.
Delivering good quality with trainees in your team
Working with trainees with no prior testing experience is always an exciting up-and-down rollercoaster of high expectations, set goals, hard work, emotional reviews & retrospectives and floating quality results. But is it possible to achieve everlasting and good quality of your software products while on boarding new trainees, in just a few weeks and enabling them to be productive, successful and happy?
Told from the experiences of a test manager and QA lead, working for a company who supports vocational training of the future IT professionals, Maja Schreiner will tell a story of delivering good quality while coaching new trainees in testing every 6 months.
In this talk, Maja Schreiner will present techniques and checks she introduced to solve the problem of doing good testing work while training people on the job. She’ll discuss the kind of activities that were going on at the same time, the activities she was using to teach people, the risks there were with the approach as well as the kind of results and problems she encountered.
You will leave this talk knowing how to build trust, carry out proper time management and accept different personalities and work attitudes. You will also see how to apply different techniques as well as being able to significantly improve your leadership skills, inspiring and injecting your young team members with a passion for testing and at the same time creating a base for future QA leads.
Yes, we can. Integrating test automation in a manual context
“Two years ago, I was offered a job with a mission: introduce test automation in a company that only knew manual testing with a culture nowhere near ready for test automation. Regardless, I started that job armed with past test automation experience and an unwavering enthusiasm for testing and test automation.”
In this talk, Andreas Faes will tell the story of how he started off, what choices he made along the way and how this initiative triggered a team-wide switch towards automation in the broadest sense.
He’ll talk about how after two years, his team started relying heavily on continuous testing, integration and deployment insofar that the traditional barriers between testing and development collapsed. He’ll explain what worked well and what didn’t work using anecdotes and real project experiences.
From this talk, you’ll see that there is more to test automation than 'the technical stuff' and that only when it is embedded into the whole process it achieves its awesomeness. Although test automation can be scary for non-technical testers, once testers get over the initial buzz, you’ll see how it can be well managed and success can be achieved by involving the entire team, which in fact should be part of the test strategy when implementing test automation.
Most of the software projects coding rely on patterns much more specific then common language coding patterns. The Software Quality full lifecycle must take into account the importance of the Quality Rules, since a large part of the issues come from architectural or project design decisions. Rules must be a first class citizen in the SPD, from its development and correct configuration, to its detailed result analysis.
Many actors participate on the full process - the Software Rule Designer, the Rule Developer and configurator, the Code Inspector / Publisher and finally the Rule Analyst. Several tools helps to put in place and integrate the actions of this actors. Most of the current processes do not put emphasis on the extremes of this chain –Rule Development and Rule Analysis phases, but they are a success factor for achieving the best Code Quality results.
What are the specific issues that needs to be covered? Why does a bug appear? How can we relate the bug to the project history and team? Can we predict where it will appear again?
We present a reference model for QA tools and activities that deals with all these concerns.
“We'll test software live on stage and while doing that, will explain what we are doing and why!”
Much has been said and written about exploratory testing. Unfortunately, it appears that exploratory testing is still often misunderstood. Some claim that exploratory testing is unstructured and ad-hoc. Just playing or cruising through the software clicking stuff without a plan. We think this because it might simply look that way. Excellent testing done by a real professional looks easy from the outside. But what is really going on?
There is a lot going on when we test and by narrating and framing what is going on, we create understanding. By knowing what skills and tactics we use, it helps us focus on the right things and it enables learning them.
In this practical talk, Huib and Alexandra will test software live on stage and while doing that, will explain what they are doing and why. They will give insight in the techniques, skills and tactics that are being used.
In the talk, you will be engaged in the demo by observing and trying to figure out what is really going on.
No tester wants to hear a developer say, “it works on my machine!” because what it being said is: “since it worked on my development environment I assume it also works on your test environment hence you cannot possibly have found a bug”.
We know this not to be true, yet we make the same assumption between environments in a later stage: We test our software on test environments and assume that our test results carry over to production. We are not testing the software in the setting where our users are facing it. To top it off, we spend a considerable amount of money trying to copy production. Managing test environments is often hard, complex and needs a lot of maintenance effort.
A lot of people are already using techniques, which take testing into production like Beta Testing, A/B Testing or Monitoring as Testing. We intend to push the envelope a little further and additionally move acceptance testing, automated checks or exploration to the production stage. To do so we need to take several things into consideration, such as making sure test data does not mess up production data and analytics, as well as hiding untested features from customers.
In this talk, Marcel Gehlen will show you some popular techniques for testing in production. He will also present various strategies, which help tackle common constraints faced when testing in production and he’ll also provide you with an approach to gradually shift your testing to production.