Has COVID-19 Made Recruiting Less Important?

Has COVID-19 Made Recruiting Less Important?

By Fabrizio Fornarelli

Just few months ago, we had a very low unemployment rates, a lot of jobs openings, and some sort of good economy. The open positions were more than qualified candidates, and the only thing more difficult than recruiting great employees was retaining them. 

Everything changed almost overnight, the COVID-19 pandemic threw businesses into unfamiliar territory, the past few weeks have brought mass layoffs, driven many small businesses to close their doors indefinitely, and forced companies to push the pause button on hiring. 

While essential businesses, such as those in healthcare and logistics, are still hiring, should the rest of us put recruiting on hold too?

For sure the employment situation has changed dramatically, but many of the recruiting processes that emerged to address the candidate-centric market still apply. Recruiting involves much more than posting an Ad on a website or a job board. It’s an ongoing process, combining active and passive efforts, to win over the talent to help your business thrive. It requires a strong employer brand with an enviable company culture and with engaged employees happy to say positive things about your organisation.

That means that hiring should never really be “on hold.”

It is mostly required a change in the way we all think about recruiting and what it requires so that when we are ready to hire again, we are ready to attract top talent (remember, your competitors are doing the very same thing).

To prepare the foundation for an immediate start of your recruiting efforts, focus mostly on two important things: employer branding and talent pipelining.

Employer branding Should Not be on Hold

Employer brand, the perception of your company as a good (or bad) place to work. Use the “downtime” to think about how you can improve your image as an employer of choice. Even if you’ve had to lay off staff or have moved to a 100% remote workforce, you can still strengthen your Employer Brand with minimal investment. 

For example:

  • Collect employees testimonials for your social media channels discussing what it’s like to work at your company and how you’re getting through this crisis together.
  • If you’re doing something charitable to support those impacted by COVID-19, share the good news with your stakeholders and your Network.
  • Take advantage of free company profiles offered by many recruiting platforms and encourage satisfied employees to leave positive ratings on review sites.

These small steps will contribute to a stronger employer brand that helps you be ready and easily recruit when you’re ready. 

Talent Pipelining

Even if you aren’t hiring, you should be still in touch with potential candidates to fill future positions. Pipelining is a proactive way to prepare your talent pool for when all systems are back and ready to go.

No one knows when the economic recovery will be complete and what the “new normal” will look like, it is never too early to plan for the future — and changing your mindset doesn’t require a single dollar.

Don’t let your hiring efforts come to a complete stop. Prepare the foundation for hiring now and you’ll be two steps ahead when the “war for talent” will start again.

Blog ITP

By Fabrizio Fornarelli
IT People Australia Pty. Ltd.

List of Courses and Certifications

IT People Australia

Courses and Certifications

By Fabrizio Fornarelli

Your Course to Success


87% of people learning for professional development report career benefits like getting a promotion, a raise, or starting a new career”

Online courses are delivered entirely online. As an online student, you’ll be able to log into an online learning system.

  • Studying online gives you more flexibility. …
  • Flexible schedule and environment. …
  • Lower costs and debts. …
  • Self-discipline and responsibility. …
  • More choice of course topics.

AWS Certification Courses CLICK HERE

Microsoft Certification Courses CLICK HERE


Google IT Support Professional Certificate CLICK HERE

Google IT Automation with Python Professional Certificate CLICK HERE

Cloud Architecture with Google Cloud Professional Certificate CLICK HERE

Data Engineering with Google Cloud Professional Certificate CLICK HERE

IBM Data Science Professional Certificate CLICK HERE

IBM Customer Engagement Specialist Professional Certificate CLICK HERE

IBM AI Engineering Professional Certificate CLICK HERE

IBM z/OS Mainframe Practitioner Professional Certificate CLICK HERE

SAS Programmer Professional Certificate CLICK HERE

UCI Project Management Professional Certificate CLICK HERE

Systems Security Certified Practitioner (SSCP) CLICK HERE

Other Professional Certificates : HERE and HERE

Professional Courses

Leadership and management courses offer resources for both new and seasoned leaders to become more adept at developing employees, inspiring and guiding teams, managing change, and effectively influencing stakeholders across an organization.

Business essentials courses address the foundations of day-to-day business work. From business writing and presentation skills tonetworking, practicing appropriate business etiquette, and communicating effectively, you’ll prepare to start your career or take it to the next level.

Business strategy courses teach you how to model growth and make smart business decisions to achieve long-term business objectives. Business analysts, business development professionals, or anyone interested in business innovation will find these courses relevant.

Finance, Strategy, Communications, Management, Operations, Project Management, Data Analytics, etc.

Software Development, Mobile and Web Development, Computer Security and Network, etc.

Web Development, Mobile Apps, Software Testing, etc.

Data science Specializations and courses teach the fundamentals of interpreting data, performing analyses, and understanding and communicating actionable insights. Study for beginning and advanced learners include qualitative and quantitative data analysis, methods for data manipulation, and machine learning algorithms.

Information Technology (IT) courses and specializations teach cloud computing, cyber security, data management, networking, and more

IT Certifications, Network & Security, Operating Systems, etc.

Personal development Specializations and courses teach strategies and frameworks for personal growth, goal setting, and self improvement. You will learn to manage personal finances, deliver effective speeches, make ethical decisions, and think more creatively.

Leadership, Career Development, Stress Management, etc.

Blog ITP

By Fabrizio Fornarelli
IT People Australia Pty. Ltd.

How to Create the Perfect Resume

How to create the perfect Resume

By Fabrizio Fornarelli

Your resume needs to show that you have the experience, achievements and drive to do the job.

A keyword-rich complete summary is a must : create a strong career summary that communicates what you have done in your career and the value you can provide

Showcase your greatest achievements : Include a “Career Highlights” section to give a brief synopsis of your biggest accomplishments. Quantifiable achievements speak the loudest and make a stronger impact than just a bullet list of text

Your career history should be concise : Focus on your most recent work experience. Don’t go back more than 15 years (you can summarize the earlier stuff). A chronological format is the easiest and most clean-cut way to do this

Career history is more important than education : Education should be at the end of your resume. Include certifications or licenses, especially those relevant to the industry you are applying for. You want to keep them focused on your accomplishments and skillset, not where you went to school or when you graduated


5 - questions of 100

Here is our top resume tips that you should consider in preparing your resume:



Looks matter, and not just during the interview process . If your resume appears slapped together, you’re not going to make a positive first impression and invite the reader to want to read the specific content



Clean and simple is the best. It should be easy to skim and see the progression of your work experience resume advice



Companies are interested in hiring people who can make their organizations better. List accomplishments – not tasks. Your resume should indicate how you’ve created success for your past employers



Ask a friend to review your resume after you run a spell-check to correct simple mistakes that could rule you out of being considered

Blog ITP

By Fabrizio Fornarelli
IT People Australia Pty. Ltd.

Internet of Things (IoT) Testing


As Humans, we evolved to get our life easier, better and simpler.
We tried to stop to use switches to control lights, stopped to paid at kiosk for the toll charges, we now monitor our health smartly, using GPS to track movements efficiently and the list can go on almost forever.

How we do all these now? and what is different?

We need to understand how this works before to discuss how to test it.


What is the Internet of Things (IoT)?

The IoT is the connection between vehicles, medicinal equipment using embedded electronics, home appliances, microchips etc. in order to collect data and at the same time exchange data of a different kind. It allows the Users to control the devices remotely through a network.

Technology used in IoT

These are few of the most used technologies in IoT:

RFID: [Radio Frequency Code] and EPC [Electronic Product Code].
NFC: [Near Field Communication] used to enable two-way interactions between the electronic devices. This is used mostly for smartphones and used to do the contactless payment transactions.
Bluetooth: Used where short range communications are enough. Mostly used in wearable technologies.
Z-Wave: Low power RF communication technology. Primarily used for home automation, lamp controlling etc.
WiFi: The most commonly used choice for IoT. When on a LAN, this helps in transferring files, data and messages.


Testing IoT – Approaches

1) Usability:
We need to test the usability of each of the device used.
The equipment should be smart enough to push not only the notifications but also the error messages, warnings etc.
The system should have an option to log all the events to provide clarity to the end users.
Usability in terms of displaying data, processing data, pushing job tasks from the devices should be tested extensively.

2) IoT Security:
The Internet of Things is data centric where all the devices/system connected operate based on the data that is available.
When it comes to the data flow between devices, there is always a chance that the data can be accessed or read when getting transferred.
From a testing standpoint, we need to check if the data is protected/encrypted when getting transferred from one device to the other.

3) Connectivity:
As we can imagine connectivity plays a vital role.
The system has to be available all the time and should have seamless connectivity with the stakeholders.

4) Performance:
We need to make sure the system is scalable enough for the whole environment where is applied.
Bigger the environment and gibber the data that is propagated and then the tested data.
As testers, we need to make sure the system performs the same even though the added data is propagated.

5) Compatibility Testing:
Looking at the complex architecture of an IoT system, compatibility testing is a must.
Testing items such as, multiple operating system versions, browser types and respective versions, generations of devices, communication modes.

6) Regulatory Testing:
Sometimes the system needs to pass through multiple regulatory/compliance checkpoints.
Think of a scenario where the product passes through all the testing steps but fails in the final compliance checklist
It is a better practice to get the regulatory requirements in the starting of the development cycle itself. The same should be made part of the testing checklist.

7) Upgrade testing:
IoT is a combination of multiple protocols, devices, operating systems, firmware, hardware, networking layers etc.
When an upgrade is performed, be it for the system or for any of the involved items as stated above, thorough regression testing should be carried out/strategy should be adopted so as overcome upgrade related issues.


Testing IoT – Challenges

1) Hardware-Software
IoT is an architecture, which is closely coupled among various hardware and software components. It is not only the software applications that makes the system but also the hardware ones, sensors, communication gateways etc. too play a vital role.
Only functionality testing does not help in completely certifying the system. There is always a dependency on each other in terms of the environment, data transfer etc.

2) Device Interaction module
As this is an architecture between different set(s) of hardware and software, it becomes mandatory that they talk to each other in real time/near real time. When they both integrate with each other, things such as security, backward compatibility, upgrade issues becomes a challenge for the testing team.

3) Real-time data testing
Being in testing team, getting regulatory checkpoints or getting the system deployed in the testing environment is complicated. So, that stays as a big challenge for the testing team.

4) Network availability
Network connection plays a vital role as IoT is all about the data being communicated in faster speeds all the time. IoT architecture has to be tested in all kinds of network connectivity/speeds.


To Summarize

The Internet of Things testing approach can be different based on the system/architecture involved. Testers should concentrate more from the point of view of the Users approach rather than testing based on the requirements.

“One of the major player in IoT testing is the Integration testing. IoT is successful if the Integration test plan is accurate and robust enough to catch flaws in the system.”

IOT testing may be a tough/challenging job but, it is also very exciting as well for the testing team to certify such a complicated mesh of devices, protocols, hardware, operation systems, firmware etc.


For all your questions contact IT People Australia Pty. Ltd. and follow our pages:






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Agile is about change … so why Testing remain the same

Agile is about changes. So have to be the testing.

IT Leaders adopt the Agile methodologies to accelerate their go the Market process in a dynamic and ever changing world of development. The changes are required in people, processes and technologies involved in the software development. And so the development Teams require to change their structures, culture, tools and daily activities. And so the Applications under development change on almost a daily (or even more frequent) basis.

Still one process tends to remain always the same: the software testing process. Recent studies reported that 70% of organizations have embraced the Agile methodologies, but only 30% Automate Testing. So even if the organizations are investing considerable time and resources transforming their development process to meet the today’s and tomorrow’s business demands, the testing process remain stuck in the past.

So why the testing fall behind? Most of the time, Teams tried to avoid the perceived pain of the transition from manual testing process to the automated one. If there is not an urgency that require the change then testers typically won’t take it upon themselves to initiate the process change. And even if the change is now mandatory, Test Managers tend to invite the organization to add some UI level test automation to their existing process will be sufficient.

But any attempt to test automation is a step in the right direction. However, more is required to meet the needs of modern development process.

“Functional testing is a crucial, time consuming, expensive step in Continuos Testing, so need to be automated, and at higher levels than most agile Teams do it today. Functional Testing needs to be automated from the beginning to the end, from the design and automation of test cases, till their execution on the overall testing process”

The Testers have already recognized that testing must change and adapt in order for testers to remain relevant in Agile and DevOps processes. Here the results of a recent survey:

  • 91% believe that the role of testers need to change to remain to meet the requirements of today’s processes
  • 70% agreed that as organizations embrace Agile, the role for testers changes significantly
  • 45% increased the level of test automation during the last past year as response to Agile methodologies

There are no other way, Manual software testing need to evolve in response to the shift to Agile and DevOps. No matter how many testers you employ, it is simply not possible for the manual testing to provide agile developers with the fast and immediate answers on whether any of their constant changes impacted the existing user experience. Without this safety net, Agile is a tremendous Business risk.


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Big Data and Software Testing

Software Testing is all about the verification that the Software meets the requirements


Software Testing is all about the verification that the Software meets the requirements and specifications discussed with the Client. The Testing verify that those requirements are met, but it will be still in the User Acceptance Tests where the Client recognize that few things are not working as expected.

The current approach of Testing is not a final guarantee of success for the system development and implementation.

Project can still be successful (on budget, on time), challenged (complete but over-budget and over-time), failed (cancelled at some point during the development cycle).

Verification and validation

The best thing to do is to evaluate the possible causes of failure in order to classify them from incomplete requirements capture, unit testing failures, volume test failures due to using too small environments or too small sets of data, etc.

We personally recognize that there is little effective verification and validation activity happening earlier in the process. So the real major question and crucial point of discussion is : there is a way to brought forward the software testing still in the early stages of the development in order to fully verify the requirements specifications, architecture design, interfaces, etc. ?

Formal testing of BI and analytics

One of the major issue is that Software Testing Team are very often not involved in any of the big data analytics projects. The data scientists ‘do their own thing’ and the business makes many business critical decisions based on their ‘untested’ work. Very often the models developed by the data scientists produced different results depending on the order in which the data were presented, when the result should have been independent of the sequence.

In Conclusion, the challenge for the Testing Professionals is too determine how their skills, knowledge, experience, process and procedures can be applied in the early stages of the development process in order to deliver a “successful project”.

Are there opportunities to ensure more comprehensive and correct requirements specifications?

Collecting your data

There are few sources of data that you can collect as an application evolves from design to production. The developers start off with a set of requirements that are translated into a design. Both requirements and the design can change at different stages of the application life cycle, so the requirements, design, and changes to them all constitute sources of data that you should capture.

Next, the design gets coded. How many developers participated in the coding? How long did it take? You can use all the data to correlate a design with the effort required to code it. What parts of the code were touched? What output do you have in your software configuration management system and build logs? That’s more data for your analysis.

QA engineers can test and enter defects, take screen shots, and record videos. You can use that data to correlate coding effort with the number of defects. QA staff then provide their feedback for another iteration of coding. Each time the cycle repeats, the development team generates new data. Finally, the mature application is released into production, where users interact with it.

Here is the point where businesses apply traditional big data analytics to study user behavior, but you can use all the data created by designers, developers, and QA teams before the application is ever released to drive your own decision making.

The data is there for the taking. Too often, however, that data is lost somewhere in a database without any analysis.

Use the big data to your advantage

The final goal is to optimize the development cycles and make them much shorter using data. But how could we do that without compromising quality?

Big data analysis is a disruptive opportunity you can use to rethink how you work across the application life cycle, and it can be applied to every stage of the software delivery pipeline. Everyone involved in the process generates data you can use. Whether it’s developers fixing bugs or QA engineers reporting them, you can use this data to help you make better business decisions. In the future, smart systems may even work autonomously, learning from historical decisions and suggesting optimizations based on historical data.

The way development teams have worked for the past 20 years fundamentally changes when you combine the power of machine learning to the goldmine of data at your fingertips.

The future of Testing : Whether you look at build logs, analyze source code, evaluate defect histories, or assess vulnerability patterns, you can open a new chapter in application delivery fueled by big data analytics. Potential developers will check in code, and without any manual intervention the system will rapidly execute only the relevant tests. Code changes will be automatically flagged as high risk based on history and the relevant business impact of the changes, in the process triggering additional regression tests for execution. Step into the future, where machine learning and big data analytics help you build and deliver software faster and better than you ever could before.

For all your questions on Software Testing contact IT People Australia :





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Test Automation Should Grow Yearly by 23% till 2024

Sometimes it seems that Software Test Automation has not yet completely reached his potential and not all the Client understand the great value that come out from this investment. Still the last report published by the Transparency Market Research on the “Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2016 – 2024” highlight a grow yearly of 23% of the Market for Test Automation until 2023.

The market is led by some of the big IT players like Hewlett-Packard, IBM Corporation and Capgemini. These Companies are offering different types of Services under only one offer in order to gain a competitive edge in the market. And obviously they have also increased the quality and the quantity of the offer in term of Test Automation in order to increase their presence in the market.

The global test automation market was at US $12.91 billion in 2015 and is predicted to touch US $85.84 billion by 2024 end.

In terms of type, the functional testing was the major part with 23,2% in the market, in terms of revenue in 2015. This is related with the consistent adoption of Agile development methodologies and the increase of investment on outsourced resources. On the other hand, it is expected an increase of investment on Security Testing with a growing of 27,8% rate until 2024, this is not a surprise with the increased connectivity between information systems and data as well as the increased popularity of Internet of Thing (IoT) and Cloud Computing. The Security Testing will have a major development also with the increased used of the Software as a Service (SaaS) model and the use of Cloud for the Mobile Applications development.

Geographically, North America held the most dominant share of 44% in the market in 2014. The grow of Test Automation will be consistent in the coming years due to the fact that this region has come up to be quite promising for numerous companies because of rising traction of QA in North America. On the other hand, the Asia Pacific test automation market is also predicted to have an highest growth rate in the coming years.

More cloud platform are being introduced in the Market, still a lot of organizations are in the lookout to migrate their already used very complex applications to the cloud. And this is because of the great advantages related to cloud-based computing with a faster time to market approach, low infrastructure and support costs, huge scalability. In this scenario we are looking for an increase of the cloud-based testing where there will be a huge opportunity in the global Test Automation Market.

For all your questions on Quality Assurance and Software Testing contact IT People Australia Pty. Ltd. :





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Will Automated Software Testing take my job?


I got this question hundreds of time. It is not possible to read in the future. Said that, it is pretty obvious that some of the new Testing practice will change the way we perform the Software Testing .


It will change the way we are perceiving our jobs. Agile and DevOps continue to gain more traction and move the traditional Testing Practice in different directions. These procedures are creating more expectations on the speed of deployment, and less time is dedicated for the traditional Testing. If your focus is only on test plans, test procedures, formal test cases, and the usual test metrics then you increase your chance that automated software testing is going to replace your job.

But if you are open to the new methodologies, study them and work in order to understand how these new procedures are working, then you increase your chance to remain a productive Tester for so many other years despite the Automated Software Testing.

So the discussion is not that you are not losing the actual job, that maybe will not be available, but new positions related with the Testing Automation will be available in the organization for whoever will be ready to embrace the real competencies coming with those roles. With automated software testing arriving, probably you will likely hold at least several jobs over the course of your career. Some may be promotions, and some may be opportunities to learn new skills.

While the odds favor lifetime learning and forward-thinking practice, individual circumstances often differ from the odds.

And Automated Software Testing is not even the last stop since the Machine Learning and the potential for Artificial Intelligence with analytics applications are working to replace human workers in a variety of fields. While certain jobs, including software development and testing, will change, professionals who adapt to new roles and responsibilities will always be in demand.

“Progress is impossible without change, and those who cannot change their minds cannot change anything” – George Bernard Shaw

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Testing .NET applications

Testing an Application as a black box can be as simple as creating scenarios, running the tests and verify the results. But the modern testing involves getting more below the surface, testing few integration points, application setup and very often automating repetitive behaviors. Testing your .NET Applications in that way can be very challenging since the close ties to the operating system and likely web servers and database servers. Today we explore the tools and techniques you need to test .NET applications.

Test tools for .NET

Visual Studio – this is the main integrated development environment, Visual Studio is the place where programmers live in to create applications. Most of the Microsoft test tools extend Visual Studio to do test case management, test automation or project management.

Test Case Management – A part of Visual Studio Enterprise, Microsoft Test Manager is a sort of repository of coverage: you can track the test ideas (sometimes called “Test Cases”), along with the runs of those test ideas. Test Manager is fully integrated with Excel or Word and supports exploratory testing, including tools to view a test run or even collect diagnostic data while performing a test.

Team Foundation Server (TFS) – It main purpose is to help Team to deliver applications together, Team Foundation Server (TFS) provides version control, project management and application lifecycle management services. For example, the programmers create the code in Visual Studio for a given story, store it in TFS and then can track time against TFS. A tester could create test cases in Microsoft Test Manager and “link” those to a particular story in TFS.

Automated test execution (Coded UI) – is a Microsoft tool that can help to record a test run, set the ideas on what the text could contain, then generate C# code to execute the test. This C# code exists in a test project in Visual Studio; testers can just run the test or edit the code to build C# code libraries to perform repetitive function. Creating these sample codes automatically that exists in the same programming language used by programmers makes tester/programmer collaboration much easier.

Virtual Machines – Very often we need to test old versions of Microsoft browsers and operating systems. Purchasing a new computer per person, per browser and operating system can be expensive, so Microsoft provides free Virtual Machines for testing. The downloadable machines are essentially the disks to an operating system.

NUnit – A free, open unit test tool for C# that is becoming the standard. Programmers that create a test project in Visual Studio can write directly some NUnit tests in the same style as Java’s JUnit and Smalltalk’s xUnit – the original unit testing framework.

Selenium WebDriver – A free, open GUI test program that can run in C#. Selenium is a portable software-testing framework for web applications. Selenium provides a record/playback tool for authoring tests without the need to learn a test scripting language (Selenium IDE). Selenium WebDriver makes direct calls to the browser using each browser’s native support for automation. How these direct calls are made, and the features they support depends on the browser you are using.

Other tools

There are a variety of tools that could work with testing .NET applications. As we mentioned before, the core issue is the depth of integration. Since Microsoft changes .NET all the time, most tools tend to be left behind, supporting the previous version of the operating system, browser or version of Microsoft Visual Studio just as the next version appears.

Most tools are either free or include a 30 to 90 day trial, so download the tool and attempt to use it with your software. At the same time, when testing .NET applications, look at the versions of the .NET, Internet Explorer, operating system and devices supported. Also look at what support means; you might try dialing in before the software expires to get a feel for wait time, depth of expertise and general attitude.

Many general test tools work well with .NET applications. Just to mention just a few tools, SmartBear Software’s TestComplete, Hewlett Packard Enterprise’s Unified Functional Tester (UFT) and the Telerik test tools have shown their attitude to go deeper into testing .NET applications.

In conclusion, testing .NET applications is very similar to other applications. With the right tools, investigating and testing, .NET applications can be easier, faster and less painful. That’s a prerequisites for more accurate testing done earlier.





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Get your Australian work experience

It is crucial for successful entry into the Australian workforce to get what is called the “Australian work experience”, but if you don’t start to work in Australia then you cannot get that experience and we have some sort of Paradox.

Thus, if you want to secure that job you desperately want and deserve, you must market directly to the employers. We encourage you to seriously consider undertaking our Professional Internship Program which completes the missing link called “Australian work experience” which is crucial for your success.

It provides you with a precious opportunity to gain relevant work experience, be familiar with Australian work culture and industry practices, prove your skills to a potential employer and possibly secure a job offer after the internship.

Though Professional Internship Program does not guarantee you employment (because job offer depends on your performance and the host company’s staffing requirement), it will arm you with confidence and industry knowledge to effectively market yourself to the potential employers directly.

Please let us know your interest to participate in the Professional Internship Program and we will discuss about your career aspirations, competencies and preferences so that we can secure a suitable internship for you.

We look forward to finding you an internship of your choice ASAP.

For all your questions on the Professional Internship Program contact IT People Australia :





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