by admin | Apr 7, 2018 | Software Testing, Blog |
Security of the application is highly critical in ensuring the adaption of the application. Given to the increasing security threats in the cyber world, a comprehensive security testing has become a necessity. The cloud-based environment is increasingly used for application security testing since it offers flexible and versatile testing platforms. Cloud-based testing empowers firms to utilize testing resources cost-effectively. Infrastructure as a service model offered by cloud allows organizations to perform various security and performance testing at relatively less cost than onsite testing which may require a huge investment in testing resources. Let’s see the things which you should take care while performing application security testing in the cloud to optimize the benefits of cloud-based application security testing.
IaaS or SaaS or PaaS?
Selecting the suitable type of cloud is crucial to ensure the optimization of cloud-based application security testing. It is worth mentioning that some cloud platform such as SaaS has relatively higher vulnerability than the other cloud platforms. It is because SaaS allows storage of data of various clients in the common platform which in turn increases the possibility of data leak. Thus, selection of suitable platform of the cloud should be made after analyzing whether the selection can provide strategic benefits to the organization. For some security testing such as penetrative testing, PaaS and IaaS are highly suitable. Selection of cloud platforms should be carried out in accordance with the testing requirements.
Scalability
One of the important reasons for preferring cloud environment for application security testing is that it is highly scalable. Testing process and resources used in cloud environment should be robust enough to accommodate changes such as changes in the size of the organization. Both horizontal scalability and vertical scalability should be taken into account while performing application security testing. It should be noted that the lack of scalability in testing may negatively affect other aspects of the testing process such as speed and efficiency. Thus, it is conclusive that the scalability is an important parameter which should be taken care while performing cloud-based application security testing.
Quality of testing
The very objective of testing process will be jeopardized if testing process is not up to the industrial standards and benchmarks. Thus, it is inferable that the quality of testing in cloud environment should be ensured to maximize the benefits of cloud-based testing. The testing process should be comprehensive enough to produce an outcome with provides a comprehensive review of the application such as contextual reporting.
As mentioned by, a single security breach may incur a loss that will be greater than the overall cost of application security testing. It is also to be noted that 80% of security breach occurs in the application layer. We at Codoid will help you to test whether security in your application is up to the standards propounded by industrial benchmarks. Feel free to contact us at [email protected]
by admin | Mar 29, 2018 | Software Testing, Blog |
Software quality largely depends upon the extent to which the software fulfills functional and non-functional requirements identified in requirement elicitation. Testing plays an important role in ensuring the expected quality of the software development. The process of testing is one of the critical success factors in software development. Investment in software testing is inevitable to develop products with required functionalities. Automated testing is leveraged to reduce time, cost and labor required to test the software.
There are hundreds of automated testing tools out there, and developers need to select most appropriate one by considering factors such as what needs to tested and suitability of the tool to the specific testing requirements. Let’s analyze some of the commonly used software testing tools to elucidate their applications.
Selenium
Selenium is one of the widely used testing tools used across the world. It came into existence from 2004 and is utilized by several big shots like Google. Apart from being an open source tool, it allows the user to customize it according to their specific needs. And Yes! It is supported by a large community of testers which allows it to gain superior capability and opened the plethora of avenues for innovation. It also has the flexibility of being deployable across almost on all operating system, and it also supports all widely used languages such as PHP, Java, and Python.
UFT
Unified functional testing (UFT) is proprietary software testing automation tool offered by Hewlett Packard enterprises. Unlike Selenium (which offers support for web and mobile platforms only), UFT can be used to target various platforms including but not limited to SAP, Java and .NET. Another factor which differentiates UFT from Selenium is the presence of object repository within tool whereas Selenium does not offer such options. Further, VBScript used in UFT is relatively easier to learn than other languages such as Java.
Watir
Watir is an acronym for Web Application Testing in Ruby. It is an open source tool which utilizes Ruby libraries to automate software testing. Since Ruby is a dynamic and expressive language, it exponentially reduces the time required to automate the testing. It reduces the time taken to compile and to assign data types. Scite editor used in Ruby is also reliable and fast which further reduces the time needed to automate testing. Compared to selenium, Watir is found to be less verbose and quick to automate testing.
TestComplete
TestComplete is used to automate software testing for various web and mobile platforms such as Windows and Android, iOS. Like all conventional testing tools, TestComplete offers the facility to record, script and create testing regime and ability to systematically log identified errors. TestComplete is known for its flexible and open architecture that offers cost-effective software testing automation. It supports a wide range of programming languages such as Delphi Script, VB Script, and JS Script.
Rational Functional Tester
Rational functional is a proprietary tool developed and maintained by IBM. It offers functionalities such as data-driven testing which includes functional and regression testing with the graphical user interface. It supports various web-based platforms such as PowerBuilder, zSeries, SAP, Dojo toolkit, .NET and Java. It offers features such as the ability to use descriptive language and object recognition.
You should select software testing automation tool depending upon the project requirement and industrial benchmarks. Codoid has helped several clients in test automation. Want to know which automation testing tool is most suitable for you? Contact us at [email protected].
by admin | Mar 23, 2018 | Software Testing |
Globalization testing is carried out to verify whether the product functions well irrespective of the geographical and cultural constraints. This is to ensure that the product is truly global which operates effectively in different locations of the world. Any global product should be made to undergo globalization testing before launching it into the market. Scalability and flexibility of the product can be enhanced by using globalization testing.
Functionality in various language settings
Functionalities present in the application should be working in various language settings in order to be accepted as a global product. Functionality of the product may not work seamlessly if the bugs such as disagreement between data format between English and other languages. By synchronizing settings between various languages, products can be made to work efficiently in different language settings. While performing globalization testing, care should be taken to ensure that the every language settings work properly.
Ensuring robust language vocabulary
When software has several language settings, it should possess vast vocabulary for each of the settings. Testing should be performed to ensure that the vocabulary used in the product is correct. Even though there are several plugins are available for translation, a brief inspection of translation and step by step implementation of every language vocabulary is highly suggested. Development should also take care of string concatenation, and the same should be tested while performing globalization testing.
Handling of currency
One of the important factors in globalization testing is ensuring the flexibility of the product in handling the currency of various countries I which the product will be used. This factor of currency handling gains more prominence when the product is used in global eCommerce platform. It is worth mentioning that the format of numbers in the currency system of various countries may vary which should be managed and checked during globalization testing. Conversion rates of currency should be efficiently managed to avoid confusion among the customers concerning the cost of the products.
Institutionalizing locale awareness into the product
Several elements in the software may require locale weakness and should change according to the area in which the product is used. Display of elements such date, currency, time, measurement, addresses, contact details should be in the forms that are generally used by local people. By institutionalizing locale awareness into the product and verifying it through globalization testing, the software can be made to be suitable for global outreach.
Thus, globalization test should be used to inculcate barrier-free localization into the product. Any software product requires a solid globalization testing strategy in order to make it suitable for consumption across the globe. Firms should also take legal dimensions in various countries while developing and testing a software product. Experts at Codoid are well experience in globalization and localization testing. If you need any assistance in globalization testing, feel free to contact us at [email protected]
by admin | Mar 31, 2017 | Software Testing, Blog |
In this article, we would like to list the main rules of Scrum which are written by Mike Cohn in User Stories Applied For Agile Software Development book.
Rules of Scrum
A sprint planning meeting is held at the start of each sprint.
Each sprint must deliver working and fully tested code that demonstrates something of value to end-users or the customer.
The product owner prioritizes the product backlog and it may be added to or reprioritized at anytime.
The team collectively selects the amount of work brought into the sprint. Once a sprint begins, only the team may add to the sprint backlog.
A short scrum meeting is held every day. Each project participant answers: What did you do yesterday? What will you do today? What obstacles are in your way?
The result of a sprint is demonstrated at a sprint review meeting at the end of the sprint. No slideshows are allowed. No more than two hours may be spent preparing for the sprint review.
by admin | Jan 12, 2018 | Software Testing, Blog |
While more and more businesses are accepting Cloud Computing services, most businesses are not clear of what Cloud Computing is, how it associates to their specific business sector and more importantly how it can cater their business needs. This post maps out this missing information about Cloud Computing for the business of every size.
What is Cloud Computing?
Cloud Computing refers to IT systems and resources that can be accessed through the internet rather than equipment that a business has to buy setup and manage on their own. Cloud Computing permits an enterprise to use IT as a utility, provided as a service by a service provider and you pay for what you use. Cloud Computing is often called “Hosted IT Solutions” or “Software as a Service”.
Cloud computing has three cloud computing models.
What is Infrastructure-as-a-Service?
Infrastructure-as-a-Service (IaaS) is the building blocks of computing that can be rented: physical or virtual servers, networking, and storage. This is alluring to organizations that want to develop applications from the very ground up and want to manage all the elements on their own, but it does need firms to have the technical skills in order to align services at that level.
According to the research of Oracle, “Two-thirds of IaaS users confirmed utilizing online infrastructure makes easier to organize, had cut their time to develop new applications and services and had lowered maintenance costs. But half said IaaS is not wholly secure for most sensitive data.”
What is Platform-as-a-Service?
PaaS is the next layer up. This includes the tools and software that developers want to build applications on top of that could encompass middleware, database management, operating systems, and development tools.
What is Software-as-a-Service?
Software-as-a-Service (SaaS) is the version of cloud computing and is delivery of applications-as-a-service that most people are used to. The underlying operating system and hardware are irrelevant to the end user, who will access the service through a web browser or app; it is usually purchased on a per-seat or per-user basis.
According to researchers, IDC SaaS is the dominant cloud computing model in the medium term with more than two-thirds of public cloud spending in 2017, which is likely to drop a bit to just under 60 percent by 2021.
The significant SaaS spending is made up of system infrastructure software and applications, and IDC said that spending is likely to dominate by applications purchases, which will lead to more than half of all public cloud spending by 2019. By 2021 customer relationship management (CRM) applications and enterprise resource management (ERM) applications will be responsible for about 60 percent of all cloud applications spending.
Examples of cloud computing
Cloud computing provides a wide range of services. It involves consumer services, such as Gmail or the cloud back-up of the photos on your smartphone, allowing organizations to host their data and operate their applications in the cloud. For instance, Netflix depends on cloud computing services for its video streaming service and its other business systems too, and have various other organizations.
Cloud computing is a default option for different apps. Now, software vendors offer their applications as services on the internet rather than independent products as they switch to a subscription model. But there is a downside to cloud computing; it can also drive new costs and new risks for businesses using it. If you’re planning to migrate to cloud, you can take training like AWS training to understand more.
Why is it called cloud computing?
An important concept behind cloud computing is the site of the service, and the details of the operating system or hardware on which it is operating, are mostly irrelevant to the user. This is because the metaphor of the cloud was taken from old telecoms network schematics, in which the cloud was represented in the form of the public telephone network to show that the underlying technologies were not appropriate.
What are cloud computing services available?
Cloud computing services offer various options from the basics of networking, storage, and processing power through to natural language processing and standard office applications along with artificial intelligence. This means any service that does not need you to be physically present with computer hardware that you are utilizing can now be provided through the cloud.
Hype of Cloud Computing
Developing the infrastructure to back up cloud computing now accounts for about a third of all IT spending globally, as per the research from IDC. Simultaneously spending on in-house, traditional IT continues to fall as computing workloads continue to shift to the cloud, whether that is public cloud services provided by vendors or private clouds developed by enterprises on their own.
According to 451 Research, “About one-third of business IT spending will be on cloud services in 2017, indicating a higher reliance on external sources of application, infrastructure, application, security services, and management.” Moreover, analyst Gartner says that half of the worldwide enterprises utilizing the cloud will have gone all-in on it by 2021.
Furthermore, spending on cloud services is likely to extend $260bn this year up from $219.6bn. It is growing beyond the expectations of analysts. However, it is not completely clear how much of that demand is evolving from businesses that really want to shift to the cloud and how much is developed by vendors who only provide cloud versions of their products (usually because they want to move away from selling one-off licences to selling more profitable and predictable cloud subscriptions).
by admin | Oct 10, 2017 | Software Testing, Blog |
The most important thing to understand about data quality is that the senior management needs to lead it for it to be implemented widely. It is up to the middle managers to get it started through their own individual initiative. It is possible for most of them to be able to bring on the needed changes as long as it is within their own chains of command. But since middle managers do not have the kind of influence needed for the data quality program to penetrate into the entire system of the organization, they need help from elsewhere.
There is no doubt a lot of factors at play when it comes to a great data quality program in an organization but what is most important is that the breadth and seniority of the managers who lead the effort are brought into play. The more senior and the broader the manager is, the better his influence plays on the program’s reach.
An organization is going to do very well with data quality if it can cause improvement in the management of its data. Data quality forces people to act and think differently. When the leadership is powerful, senior and broad, the chances of failure decreases on its own.
A great way of providing necessary leadership is by organizing a data council. If that is not possible, one can also go with an already existing council, such as the operations department of an organization. The best way to go about it would be to put the chief executive as head of the data council or the equivalent.
Councils have the following responsibilities:
- Leading the data quality effort
- Deploying management responsibilities for data
- Supporting information chain and supplier management
- Managing the “data culture”
- Ensuring that data quality efforts are adequately funded
Roles and Responsibilities of Senior Management
Lead the data quality program
1) Formulate business case
- Most important issues/opportunities relevant to data (i.e., cost reduction, customer satisfaction, competitive advantage, etc.)
- Expected returns
2) Formulate and promulgate quality policy
- Role of data quality to organization’s strategy
- Managerial responsibilities
- Targets for continuous improvement
- Contribution to merit rating
3) Select major dimensions of data quality
- In customers’ eyes (accuracy, timeliness, relevancy, etc.)
- With respect to the competition
- Cost of poor data quality (i.e., error detection and correction)
4) Communication of all of the above to important stakeholders, including key customers, employees, etc.
Support information chain and supplier management
1) Identify the most important processes and suppliers
2) Invest information chain and supplier managers with the needed authority
3) Establish the “project system” including machinery for
- Soliciting project nominations
- Selecting projects
- Charting project teams
- Selecting the team (leaders, members, facilitators, etc.)
- Supporting project team
- Reviewing results
- Celebrating success
- Ensuring the improvements are sustained
Advancing the data culture
1) Advancing the concept of data “as business assets”
2) Leading change management improvement
3) Motivating continuous improvement
4) Resolving issues as they occur
5) Ensuring that the training program is in place
- Data curriculum
- Process and supplier management
- Planning, control, and improvement processes
- Problem solving, team building, group dynamics
- Style of training
Ensuring adequate funding
1) For training
2) For data quality staff
In some respects, it may be even more difficult to lead a quality program for data. After all, data are intangible, and bad data seem to strike like viruses. Further, it is so easy to confuse data or information with the supporting technology.
