Software Testing Strategy & Challenges in 2019

Building a successful software testing strategy is the tricky task and the approach will vary on a team to team. Some may include automation engineers than manual testers, while some may have shifted left and depend on expert developers to do the heavy lifting. Deadlines, Budget, application type, and development model are all driven factors that impact how a software testing strategy outlined should be implemented. There are distinct approaches, all of which are equally significant to reach a realistic decision to the pressing questions facing testers and developers:

  • Do all features effectively process and function as expected?
  • Can the app withstand the heavy load demands?
  • Are there security vulnerabilities that could put users at threat?
  • Is the app simple to use?

Factors to Consider while picking out the right Software testing Strategies:

  1. RISKS
  2. SKILLS
  3. OBJECTIVES
  4. BUSINESS
  5. PRODUCT
  6. REGULATIONS

You must select software testing strategies with an eye towards the above factors mentioned earlier, the budget, schedule, and attributes constraints of the project and the realities of the enterprises and its politics. The methodologies, tools, and patterns for testing have evolved with the changing needs. For example, as per industry reports and core analysis, DevOps and Agile have been the primal drivers for growth in the test market. There is an undying necessity to launch apps at speed and keep up quality at the same time. Consequently, in modern era test starts way ahead in the development lifecycle rather of being introduced at the final stage of the development process. Implementing a robust strategy is the foundation of uninterrupted delivery, and automation is the key to a successful constant delivery pipeline.

Let us have a glance at some software testing challenges that 2019 plans to bring for the tests fraternity:

  • Developing skills for the trendy term “Agile and DevOps”- According to Technavio’s market research analysts- the global market will grow uniformly at a CAGR of around 14% untill 2021. Test Automation services and Agile services will be the key growth drivers. Testers must adopt DevOps and Agile skills to ensure heightened performance, velocity, and flexibility in the software development process.
  • Preference for Open-Source platforms- Increasing adoption for Open-Source platforms for testing not only brings cost-effectiveness but also brings in a community of experts for assistance. This has resulted in the high preference of open-source platforms like Selenium.
  • Interface with social media- It is the requirement that every single app should interface with social media. It implies that testers are required to build social media networking skills. Users need instant access to resources, content, discussions, and stay updated.
  • Acceptance and adoption of Automation over Manual- The complexities with apps and software are high and there is a great demand for third-party integration. Tests are required regularly, which might reach a dead point if automation is not done.
  • Dealing with issues and up-gradation in Web & Mobile Technologies- Devices and screen dimensions are enormously upgrading and changing. This has resulted in complications, so the best way out is to keep a check on the web and mobile technology progressions and guide the coding architecture & cope with technical challenges to deliver robust Quality Assurance solutions.
  • Processes to offer immediate Customer support-Today it is imperative for apps to build instant support and feedback execution mechanisms within the software.
  • Think beyond Methodologies, get logical- Technologies like Agile, Automation, Shift-left, DevOps, and Service Virtualization have added immense value to boost and accelerate the software test cycle. However, today testers are expected to add logic and think beyond just test. Good Analytics, logical thinking, reasoning skills, can assist in driving more credible results with standards.

These could be top software testing challenges that testers might face while building a suitable strategy and harnessing the essential skills. However, overcoming these software testing challenges will help experts to move beyond the mundane action and leapfrog into a strategic position in the complete development cycle.

Agile Digital Transformation

Let us understand what exactly AGILE is all about–

AGILE – A term coined in 2011 by a small group of people who were tired of the traditional approach of Software Management of developing projects.

Agile helps teams to provide fast and unpredictable responses to the feedback they receive on their projects.

The twelve principles of agile development include:

1.Customer satisfaction through early & continuous software delivery – Clients are happier if they don’t have to wait for extended periods of time and receive working software at timely intervals between releases.

2.Accommodate changing needs throughout the development process – Whenever there is a change in requirement or feature, it should not cause a delay in the development process and get accommodated easily in the software.

3.Frequent delivery of working software – As Scrum operates in software sprints or iterations, this ensures regular delivery of working software.

4.Collaboration between the developers & business stakeholders during the project – Better decisions are made when the business and technical team collaborate.

5.Support, belief, & motivate the people involved– The unhappy teams cannot deliver their best like the motivated teams. So, support and trust are needed on the team.

6.Enable face-to-face interactions– There is no miscommunication when teams are co-located which not only saves time but also gives better interaction result.

7.Working software is the prime measure of improvement– The ultimate measure of progress is delivering functional software to the customer.

8.Agile processes to support a consistent development pace–Agile process establishes a routine through which teams establish an iterative and maintainable speed through which they can deliver functional software, and they repeat it with each release.

9.Attention to technical aspect & design enhances agility– The apt skills and righteous design ensures the team can maintain the speed, constantly improve the product and back up the change.

10.Simplicity– Develop just enough to get the job done at the moment.

11.Teams which are self-organized encourage great designs, requirements, and architectures– Motivated and Dexterous team members who have the decisiveness, take ownership and interact regularly with other members of the team and share designs that deliver standard products.

12.Regular reflections on how to become more and more effective– Self-evolution, process betterment, advancing expertise, and techniques help the team members to work more coherently.

The aim of Agile is to merge development with the business needs, and the success of Agile is evident. Agile projects are customer-centric and advocate customer guidance and engagement. Because of this, Agile has grown to be an overall view of software development throughout the software development industry and an industry all by itself.

What is a digital transformation?

It is the unification of digital technology into all areas of business, radically changing how you utilize and yield value to customers. It is also an aesthetic change that requires organizations to continuously confront the status quo, investigate, and get comfortable with unfulfillment. 

Digital Transformation is the unprecedented use of digital technology to resolve conventional problems. These digital solutions capacitate inherently new types of innovation and artistry, rather than simply upgrade and support conventional methods.

What is AGILE DIGITAL TRANSFORMATION?

An agile transformation is an act of transfiguring an organization’s form or nature gradually to one that is able to accept and advance in an adaptable, cooperative, self-organizing, fast wavering environment. The Agile Manifesto values and principles can be followed and taught throughout any type of establishment as it does not just apply to development teams.

The whole establishment needs to interpret the clarity of an agile transformation and the value of it in order to gain from the rewards of achieving true, healthy agility. The whole cultural and organizational mindset must change to one that embraces a culture of self-organization and collaboration.

Principles of Agile Digital Transformation:

PRINCIPLE 1:  START WITH A TRANSFORMATIVE VISION

As per a recent Gartner survey, 63% of business leaders stipulated they don’t exactly know what would be the possibilities of next-generation technology. Not astonishingly, just 13% of respondents said they have discovered the next paramount digital business technology investment. The reason for this is that the company lacks a transformation vision that will plan out a digital strategy and, more importantly, give the business the ability to measure progress and make real-time adjustments to improve outcome. Superior management must create, be coherent, and interface the compelling future digital vision.  Transfiguration does not happen bottom-up.

PRINCIPLE 2:  FOCUS ON BUILDING DIGITAL CUSTOMER ENGAGEMENT

Successful digital transformations are always built on front-end customer experience, unlike traditional digital projects. There should be more and more exposure to new growth opportunities by adding digital features to products as well as by changing direction and considering how the products and their services adapt to the digital customer. To create a value we need not use technologies and tools as an integrated package instead there should be sets of applications that can automate the user experience through social, data, cloud and mobile.

PRINCIPLE 3:  SUPPORT THE VISION WITH SECURE DIGITAL PLATFORMS

The organizations must always prioritize risks germane as per their specific operation. As the hottest application in need is for security, there should be smart tools to manage the risks for detecting the intrusions quickly and to respond in real time. The key to liberating the existing IT assets and enabling digital innovation with growth is the interface to digital components. The security of assets and data is paramount, the right strategy will support the speed, safety, and growth required in today’s digital economy.

PRINCIPLE 4: DRIVE INSIGHT WITH DATA-DRIVEN VISUALIZATION

The growing digital organizations not only persistently collect data but identify and envision that data in a context that induces insights that can be acted upon. The solution to unlocking real-time data intelligence for zestful and unified customer engagement is comprehending and address customer personas and micro-segments.

Traditionally companies have a reasonably strong foundation of sales transactional data. However, this data often lacks the necessary dimensionality to create meaningful demographic, attitudinal, and predictive insights. In addition, data rarely is augmented by leveraging publically available and purchased data.

Many organizations are using data visualization to communicate information clearly and efficiently to users through statistical graphics, plots, infographics, and dynamic tables and charts. Effective envisions helps users in examining and reasoning data and documentation.

PRINCIPLE 5: EMBRACE DIGITAL AGILITY TO CREATE ADVANTAGE

Due to the constantly changing customer and market conditions, Business leaders often wrestle to execute extensive projects. The conventional business model features unconnected, unintegrated platforms by business function and projects with 6-18 month lifecycles. Oftentimes, by the time the project is accomplished, market and user requirements have changed with success criteria and ROI seldom realized.

To circumvent these perils, firms must grab adaptable differentiation by developing a “digital agility advantage” that allows a company to embrace market and operational changes as a matter of routine through the use of digital technologies. Digital agility initiatives are rooted in 30-day sprints with new iterations built better and faster. This allows a company to constantly evaluate and modify – the concept of learning, launch, re-learn, re-launch – rectifying the perspective in attainable iterations. Thriving organizations in the digital age must exhibit an awareness of how to be agile; only then, they would be able to execute in an agile way.

6 Reasons Why Manual Testing Won’t Replace Automated Testing

There are so many discussions that automation testing is replacing manual testing. A lot of developers & testers in modern era want to look for the help of automation testing to make their lives simple. Test automation has received interest and much attention in recent times. But, the truth is that you can’t expect automation testing to execute all the work done by a software tester. A lot of developers and testers in the modern era prefer to seek the assistance of test automation to make their testing easy. However, test automation doesn’t have the capability to completely replace manual software testing. Therefore, we cannot expect that automation testing is stealing the job of software testers out there in the software testing world.

Reasons Why Test Automation will never replace Manual Testing:

  • It only tests what is predictable- Automated tests assure people that what we anticipate to happen does, in fact, turn out. We name this the “happy path”. Automation testing concentrates on functionality that already exists. It isn’t deep but its coverage is enormous. Test Automated is effective for regression tests, precisely when resources are restricted. But only doing test automation is sure to introduce some drawbacks and disappointment in your software testing process.
  • Automation is excessively expensive for small testing projects- Not just do you have automation testing software to pay for, but you also have high maintenance and management related costs, because of script writing & rewriting, including arrangement, set up and processing times. For big and long term projects, the higher expenses can be worth it. But for small and short projects it’s a massive waste of both money and time. When estimating the potential ROI for an automation purchase, you have to factor in additional man hours, too.
  • Automating usability tests is just impossible- Usability testing cannot be automated and it necessitates a human. You cannot train a system (laptop, computer, etc.) to spot “good” usability vs. “bad” usability. Perhaps you might think like, “Ok, we can easily skip usability testing”. Do not make such type of mistake. By skipping this type of testing, you are introducing an incredible amount of threat. This step in the Quality Assurance process is vital to ensure confidence in the product release. There is no means around involving manual testers in usability testing.
  • Automation Testing can contain faults/ bugs- Just like your app’s code can have bugs, automated tests can too. Automation tests can also catch Issues that are unaware of. If you write tests with bugs, you are literally going to have false positives, which can lead to several threats and problems for your clientele and your team. The human element of manual testing can spot these errors and ensure you are testing appropriately.
  • In agile, testing scripts have to be rewritten – Working with continuous feedback in agile environs means fluid changes to the flow of the product, the User Interface, or even attributes. And nearly every time, a modification entails a rewrite of the automated scripts for the subsequent sprint. Fresh new modifications also affect the testing scripts for regression tests, so even that classic automation example necessitates a lot of updates in agile.
  • Technical limits can come into play- The number of test scenarios is complex or downright impossible to automate. The universal argument is “automated testing is cheap”. But it’s not challenging to spend a ton of money and time on elaborate automation. For instance, testing a series of touch screen devices. How do you automate the understanding of a “swipe“and a “tap”. You cannot do that in a way that is equivalent to human being usage.

Final Verdict

The existence of both automated testing and manual testing forces us to think about our option of tools, their charge, and the rewards they will provide. There are a place and time for both testing techniques. Manual testing helps us understand the complete problem and explore other tests angles with flexibility. Test automation helps save time in the long run by achieving a large number of surface level tests in a limited time. It is up to you to decide where and when every single method of testing is used. Even though automation would not replace forms of manual testing, yet neither will manual testing remove automation. Once the distinction between them is understood, the in-depth dread of automation breaks down and a competent, gainful coordinated attempt rises.

We at ImpactQA provides both Quality Assurance manual testing as well as Automation using all the most recent automation testing and manual testing tools.

Why I talk about Context-Driven Testing?

As we know sometimes Testing Practices and Testing Techniques become very rigid and imitation based. So there must be some way by which we can easily shift our testing practices, techniques and even definition as per the circumstances or requirements. This is exactly Context-Driven Testing.

There can be different circumstances with every project we are going to deal with-

●    Requirements can be documented or not.
●    Enough time vs fighting schedules.
●    Tools Availability.
●    Clients Requirements.
●    Selection of best process for the project.
●    Trained employees’ vs untrained employees.
●    Time zone issues between the Development and Testing teams.

The Testing team working on the Context-driven testing are going to select their testing objectives, techniques, and deliverables (contains test documentation); also find out the details of the specific situation, the wishes of the stakeholders, etc.

The utmost priority of it is about doing the best with what we are having in our pocket. In Spite of applying “Principal practices and industrial testing standards”, we can accept each and every different practice or even different definition which can work best under different circumstances.

Basic principles of Context-driven testing –

●    The actual return of any practice is directly dependent on its context.
●    In context, there are good practices but not best practices.
●    How people are working together is very much important.
●    Over time, project unfolds in many ways, which are often not predictable.
●    The product is a kind of solution, if the problem doesn’t solve, the product doesn’t work.
●    Good Software testing is challenging deep thinking and intensive reasoning task.
●    Can we do the correct work at the correct time to do productive testing of our products via appropriate judgment, skill, and unified work?

Some testers may favor life-cycle models and organizational models. Let’s consider the V-model; it is a kind of disjunction between Testing group and Development group, here the testing team demand for all code along with detailed specifications. Context-driven testing has no room for this kind of philosophy. Also, agile development is related to a particular set of values that belong to only one kind of context. Context-driven testing is far broader than that. Testers get what they get, and they know how to cope with what comes their way. More importantly, a tester is basically a customer advocate. Testers should try their best to understand the customer position and make the best case when they feel it isn’t being addressed.

So the final call will be before ensuing Context-Driven testing, we should ask our self –

●    Do we value more in individuals rather than their interactions over processes or tools?
●    Do we value more in seeing working software over documentation?
●    Do we value more in responding to change over following the plan?

Expert testers can better explore how the product should work from a user’s point of view, and identify and address barriers that prevent users from fully adopting or accepting the product.

Context Driven Testing is not for every organization, and it’s not a replacement for other forms of testing.

Emerging Real Estate Technology Trends 2019

If you look back a decade of progress, Real Estate Business was merely contemplating digital opportunities and embarking on a modern path of website creation, online marketing, and mobile application development. At present Real Estate Domain in its traditional sense makes up a small part of RE Technology landscape. Real Estate Technology, also famous as PropTech, or RE Tech is projected as constant-changing and fastest-growing industry. Ever since 2012, Real Estate Tech Companies have elevated over $43 billion in funding universally. The main types of solution investors are focused on within real estate sector are Software as a service (SaaS) platforms. Companies like Zillow and Trulia are industry leaders in the real estate industry and pretty successful at offering homebuyers with the digital outline of the property, and getting them in touch with realtors and brokers who can complete the contract of deal.

Real Estate Technology Trends

Real Estate Technology is it’s an umbrella term for software platforms and tools used by diverse participants in the real estate industry, including investors, brokers, property owners, real estate-focused lenders, and managers. According to the most recent report provided by Federal Reserve in the year 2014, the real estate field has the maximum value of assets that is projected in $40 trillion. In spite of the impressive number of real estate firms, less than 10% of them have adopted the software application & software testing solutions for real estate. That means real estate tech startups with modern techniques and good products still have a great possibility to become the market leaders.

The second wave of RE technology, “2.0,” has matured over the last 6-7 years, giving boosts to two new categories, tech-enabled services and space arbitrage. The 2.0 wave in RE technology hit a milestone in July 2017 with the successful and thriving IPO of a tech-enabled real estate brokerage- Redfin. This was the first prime real estate tech-enabled services organization to go publically open and did so at a valuation multiple equivalents to pure technologies comp. The bulk of the 2.0 success stories have been businesses which found prospects to progress on the offerings of incumbents and develop at their expense. These companies usually included a technology factor though also implicated significant people-delivered or space-related services to monetize. The expansion of businesses in the space-arbitrage and tech-enabled categories demonstrates also makes it particularly challenging to delineate between traditional real estate and real estate technology. Start-ups in the newest Real estate 3.0 category, which is still in its nascent stages, where the key ‘startups’ are complementary to incumbents and have technology more centralized to their offering or may potentially focused on newest and advanced technologies and tools.

Real Estate: The Synthesis Phase:

Real estate 3.0, which is still in its nascent stages, may potentially look more like real estate 1.0 where the key ‘startups’ are complementary to incumbents and have technology more central to their offering. The themes of this newest phase will likely include:

Internet of Things technology & spatial visualization: Commercial and Home space sensors, construction planning and automation tools.

  • Google’s acquisition of Nest was a precursor to the rising excitement and investment of businesses and consumers in technology to increase their physical space. Eventually impactful for the construction & development industry will be the evolution in virtual reality tools and user intuitive spatial planning tools that could reform how people make decisions.

    RE big data: Leveraging the current gains in the ease of access of large information sets to make decisions on real estate planning and investment.

    Platforms to manage and handle services & purchase: Resources and technology that help people manage real estate transaction services and the equirements of their physical space.

  • Redfin, Zillow, WeWork, along with their segment up-and-comers, have all greatly invested to build multi-service platforms, where clients would select office and home providers though their site, leaving the opportunity for new startups.

    AI in property management and valuation: Property management is essential but can be extremely demanding, especially for agents and landlords that deal with manifold properties.

  • Intelligent homes powered by machine learning and Artificial Intelligence algorithms assists in easing off the pressure by automating jobs like screening tenants, setting the rent, alerting the important contacts at emergency, among others. New-age brokerage firms are applying deep learning capabilities to find quality properties, provide accurate real estate valuations, find underutilized properties, and assists property purchasers to determine the future value of their assets.

The cloud- Another platform with extensive impact takes on the concluding process.

  • Anybody who has ever purchased real estate knows what an inefficient, long, and frustrating procedure this is. Now, thanks to the cloud and improved data management apps, the complete procedure can be streamlined for both residential and commercial purchases — right down to electronic signs. A company that is solving this trouble in a pioneering way is PEXA (Private Exchange Australia), an online property exchange network.

Blockchain- It is the underlying technology behind cryptocurrencies like Bitcoin, however, it is not merely the new payment ways that are set to modify the way we do real estate.

  • The blockchain is efficiently a decentralized database, ensuring the integrity of the data and allowing for records to be created for every single property in the nation.

Real Estate Startups have a lot on their plate when considering what trends to capitalize and what procedures will work best for their operations in order to achieve success. There are somehow several roadblocks along the way, but decision-makers in this type of industries must be smart enough to overcome challenges by using evolving technology and by staying on top of emerging trends to better meet user needs. As the technology persistently become more ubiquitous, you can expect home buying to never be the similar again.

As more people hunt for quality apps, startups should look to leverage agile testing methodologies and innovative automation testing solution offered by ImpactQA to completely vet programs & deploys the best possible products. It doesn’t matter, whether your apps are meant for consumer use or internal – your software or app must be tight and functional with no or minimal bugs. Any fixes have to be easily enacted to establish a reputation and keep user loyalty for reliability.