What You Should Know About Automated Software Testing Tool

Software testing entails a list of activities, but in a nutshell, it refers to the process of identifying the accuracy, comprehensiveness, and quality of the software application. In actuality, there is no way that clients and developers precisely establish the accuracy of a software. That alone suggests that no software program in the world is perfect. However, any software engineer can improve his program by checking errors and by trying its durability. Software clients and developers can do these by testing the program either by hand or by using automated software testing tool.

[b]Android Programming[/b]

There are basically two ways clients and developers can test software programs. The old school way of manually checking the application module by module is still very much in practice today. The presence of automation testing, however, does not necessarily imply the obsolescence of manual testing. In fact, it is advisable to pair automated testing with manual testing. Simply put, automated testing software lessens the use of manpower while speeding the checking process. The goal is to test the software efficiently in as little time as possible.

Automated testing software entails four set up activities. These activities include detailed test cases, predictable expectations or results, dedicated test environment, and skilled and dedicated resources. It is therefore imperative that clients and developers consider these minimal setups before implementing the test automation.

Automated test softwares can be either keyword driven or functional decomposition. These two terms refer to the two types of testing automation. Functional decomposition refers to the type of test automation software where the software system is broken down into sub-functions and system functions so that each component will communicate accordingly. The keyword driven type of test automation, on the other hand, uses pre-made key words instead of breaking down the system into components. Each keyword will then correspond to each system function and sub-function.

Each type of automated testing software tool has its own share of advantages and disadvantages. The benefits of using functional decomposition include the efficiency of a modular design, the elimination of redundancy, script reusability, convenient maintenance, and robust error handling. On the other side, functional decomposition can be costly since it needs the employment of skilled technical personnel to write and maintain scripts. This type of test automation software also requires more time since the maintenance team must preserve the test data as well.

Keyword driven test automation software applications, in contrast, are easier to create and maintain. This approach does not also require technical expertise. In fact, even non-technical staff can run and maintain the software, thus encouraging cost-effectiveness within the company. Despite this, creating the central utility scripts demands high level of proficiency. Even custom scripts for intricate scenarios can become time consuming. Failure to build stable architecture in terms of utility scripting may lead to risk of malfunction and system crash.

In spite of these lists of disadvantages and advantages, the choice of using automated software testing tool is not a matter of what type tool to implement. But it is a matter of making the necessary preparations. Remember to have a suitable environment, a stable hardware facility, and skilled workers to maintain and run the tests.

What You Should Know About Automated Software Testing Tool

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Software Programming of Autonomous Robots

Software systems for autonomous robots consist of different kinds of components software. The robots sensors enable to retrieve information from their environments. In contrast, actuators are used to interact with the environment. These components are normally located on the robot directly. They resemble device drivers that need to be tightly coupled with software. Robotic systems typically comprise components for modeling world, behavior reasoning, self localization, or path planning, which realize the artificial intelligence part of the system. These components can be located on the robot directly or realized self contained modules located o remote systems as well.

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Modularity has shown to be advantageous for complex and large software systems and is a fundamental design principle for distributed applications. This is not always only the objective of abstract design. Often it is necessity implied by specific characteristic systems of modular robotic. Image processing has to be implemented mainly with efficiency. This is requiring programming languages which introduce minimal in computations like C+ or C.

For less computation intensive tasks or for programs in a very portable way, other programming language like Java or C# may be preferable. Different platforms or programming languages normally imply using separate processes as well. Finally, third party modules integration is facilitated by a modular architecture with simple and clear interfaces.

Modularity also involves complication to some degree such as interaction between modules has to overcome boundaries. A very fast and flexible inter-process communication (IPC) scheme is socket communication. It allows a module to communicate with other module in remote or same systems. Socket interfaces are available on all common software platforms and facilitate portability as well. Socket communication is stream-based or message, so data exchanged between modules have to be serialized before transmission and de-serialized after reception. A developer defines interfaces of module communication with data management capabilities as well as communication protocols tailored to mobile ad hoc interaction schemes.

Software Programming of Autonomous Robots

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Choose the Right Programming Language For Your Custom Software

You know it's essential to choose the right platform and tools for an IT project if you want the resulting system to be successful. Let's take a closer look at some factors to consider when choosing the programming language you will use to write source code for your software.

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Languages are Not All the Same

If you are multilingual, which of these languages would you choose to write an opera: French, German, Italian or Dutch? How about a love poem? Chances are that for each of those questions, one or two of the options stood out as suitable and one or two stood out as terribly unsuited.

As you plan what your software will do, some programming languages will be obvious misfits. Others will be appealing possibilities. You just need to decide among the ones that are appealing. Make a list of the answers to these questions:

Will the software perform predictable sequences of activity, or unpredictable sequences? Must the software squeeze as much performance as it can out of the computer? Are specialized interfaces needed between the software and hardware devices (such as device drivers), or between the software and operating system (special hooks to operating system internals) or other applications (such as database engines)? Is the software a small, medium, large or very large application? Is it complex? What hardware platforms must the software be able to run on? What operating systems must the software be able to run on? Is availability of expertise an issue?

These are enough factors to evaluate for most projects. There may be more factors you want to include for your specific project. Next, see which languages fit your needs best.

Strengths versus Weaknesses

To the right of your list, add a column for each language under consideration. Go down the list of factors one at a time and apply a checkmark for each language that is well suited in regard to that factor. Get help about any language where you don't personally know about its strengths and weaknesses. Your spreadsheet needs to be filled with factual information, not fads or personal feelings.

Language differences should jump out at you from the completed evaluation chart. Here are some examples:

Languages that must be compiled and linked to generate an executable program, such as COBOL, C, or C++, make much faster-running software than interpretive languages such as the original BASIC or Java. These languages have to be recompiled and relinked for every target operating system. Interpretive languages such as Java or BASIC execute relatively slowly. Software written in these languages can be taken from one operating system to another with little effort. For predictable sequences of work, procedural languages make fast-running, compact programs with low overhead. For unpredictable sequences of work such as responding to human users in a windowed user interface, they are cumbersome. Object oriented programs are intended for unpredictable sequences of work. They take more overhead than procedural languages, so object oriented code tends not to run as fast as procedural software. High level languages are more easily read by people, simpler to debug, easier to maintain, and reduce the chance of such errors as memory leaks. These are languages such as COBOL, FORTRAN or PL/1. They are less flexible than low level languages such as C. High level languages cannot readily manipulate bits or directly manage hardware. Low level languages like procedural C or object oriented C++ can perform almost as "close to the machine" as a computer's native assembly language. You can do nearly anything with low level languages. However, these languages are cryptic and do not include safeguards that are built into high level languages. That makes it easy for programmers to make such mistakes as memory leaks, and it makes software in these languages hard to maintain. The bigger and more complicated your software is, the more a high level language will save you from long term maintenance headaches.

Ultimate Decision

After you finish filling in your chart, some languages will have more checkmarks than others. The ones with the most checkmarks, or with checkmarks by the most important factors, are your finalists. You might even be lucky enough to find all the finalists are similarly capable for your project. In that case, any language among your finalists will do, and you can pick the one among them that you find most comfortable.

Choose the Right Programming Language For Your Custom Software

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BlackBerry Applications - What Software Developers Need to Know

As the BlackBerry smartphone gains market share, software developers are increasingly wondering if they should be writing or porting applications to run on the BlackBerry platform. It's not a decision to be taken lightly because there are significant investments in time and effort in writing software for any mobile platform. And the BlackBerry platform is very different from the other platforms. Here's a quick rundown on what you need to know before creating BlackBerry applications.

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BlackBerry software is written in Java. Java is the only choice for non-browser application development. You can't write applications in C or C++, so don't even bother going there. (The very earliest models of the BlackBerry supported C/C++, but the platform switched to Java exclusively several years ago.) The Java is Java ME. The BlackBerry's Java support is for Java ME (Micro Edition), the stripped-down version of Java designed for mobile phones and other constrained devices. The language is the same (most features are supported) but the class libraries are vastly different -- mostly because they're much smaller. This makes porting code a challenge. But it's also BlackBerry-specific. The Java ME class library is small, so the BlackBerry augments it with a number of device-specific APIs, including the graphical user interface APIs. You need to learn these APIs to write "real" BlackBerry applications. You need to test on real devices. This shouldn't be any surprise to anyone who's done mobile application development before, but it's even truer on the BlackBerry platform. The BlackBerry simulator can easily give you a false sense of security when testing your application features, especially the networking aspects. There's nothing like testing it on a real device. Preferably, several real devices. BlackBerry infrastructure is complex. BlackBerry programming isn't just about understanding Java and the BlackBerry APIs, it's also about understanding the entire BlackBerry infrastructure, from the BlackBerry Enterprise Server (BES) to the BlackBerry Internet Service (BIS) and everything in between.

The reality is that BlackBerry programming is a specialization that is developed over time. It's not nearly as simple as it seems at first, as many developers have discovered to their dismay.

BlackBerry Applications - What Software Developers Need to Know

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