Common causes of software errors




















Sometimes it also complicated to understand the problems. Coding plays an important role in Software development process. Simply bad coding leads to errors into code. Bad coding means un-handled exceptions, errors, improper validations of inputs. Few programmers are working with bad tools like faulty debuggers, compilers, validators etc.

As system is developed by the human so we cannot expect the system would be bug free, hence this is the one area from where the errors might be introduced in the system.

If paradoxically the we are yet to find out the non-human who can develop the software for us. So we have to rely on the human being to develop the software. So in such a case version controlling makes a key role. Even if a version control system e. Visual SourceSafe is in place, errors might still slip into the final builds if the programmers fail to make sure that the most recent version of each module are linked when a new version is being built to be tested.

The only ways to verify the information would be to compare the time worked back to time sheets or to tables that indicate the employee ID. Incorrect processing of data relationships - This means that data relationships are not created or maintained correctly between one or more data elements.

These data elements can reside on interactive interfaces, reports, or files. For example, a system may allow a user to incorrectly enter a telephone area code invalid for the state specified in an address field.

Incorrect file and data handling - This refers to the software incorrectly retrieving data from files or tables. This could include retrieving the wrong data from the right source or the right type of data from the wrong data source. An example of this would be retrieving data from an old version of a file or table, thinking the data is being retrieved from the most current version. Another example is the inability of the software to process empty or full files correctly.

A secondary problem could relate to the software's inability to pass data correctly through the system. An example of this would be the incorrect processing of transactions, where data is inadvertently dropped during processing. Inadequate security controls - This means that unauthorized access to the system is not adequately controlled and detected.

In addition, people may also be able to perform transactions in excess of the authorization levels appropriate for their job functions. For example, a person without managerial levels of security access might be able to approve their own overtime. Or, a person not in the payroll department might be able to view the employee payroll files. Inability to handle production data capacities - This refers to the software's inability to process data at the level required by the organization.

Another example is the classic case of the Year computing problem, where dates in the Year and beyond are incorrectly recognized as being in the early 's. If you developed test cases to address each of these problems, you would have a huge challenge to cover all of them completely.

Like everything else in testing, looking at relative risk and the situation at hand will narrow your focus. One approach would be to design a risk questionnaire for each problem area.

Another method would be to interview users to assess the risk impact. A third technique would be to study past defect reports and correlate them to each of the problem areas, giving the highest priority to the most troublesome areas. As I indicated at the top of this article, I do not presume to have presented the ultimate list of problem sources for dirty systems.

The software was coded one way but needed to work another. Some programming languages require a compilation step. Compilation is where your high-level language converts into a lower-level language that the computer can understand better. Like syntax errors, you will get better at avoiding these with time, but in general, the best thing you can do is get early feedback when it happens.

Compilation happens across all files of your project at the same time. By running the compiler often, you will get the feedback you need sooner, and you will more easily know where to address the issues. Runtime errors happen as a user is executing your program. The code might work correctly on your machine, but on the webserver, there might be a different configuration, or it might be interacted with in a way that could cause a runtime error.

Runtime errors are particularly annoying because they directly impact your end user. These errors occur when the system is running and can stop someone from doing what they need to do. Make sure you have good error reporting in place to capture any runtime errors and automatically open up new bugs in your ticketing system.

Try and learn from each bug report so that in future you can guard against this type of error. Making use of frameworks and community maintained code is an excellent way of minimizing these types of errors because the code is in many different projects, so it will have already encountered and fixed many issues.

An arithmetic error is a type of logic error but involves mathematics. A typical example when performing a division equation is that you cannot divide by zero without causing an issue. Testing is the process of identifying a specific problem or problems during a software creation. A person who performs functionality testing and flows information to developers is a tester. A tester team identifies application bugs within a matter of a given timeframe.

Then, the testing team provides the list to the system developers. They then fix the product errors before it is ready to use by an end user. In any testing project, bug leakage refers to a scenario when a bug that should have been found during the production phase is seen during a build process. Some bug leakage is intentional; others are not. The intentional leakage of bugs in software testing is known as bug release. Defects can occur by anything. It includes incorrect calculations, application usability errors, functionality errors, compatibility errors, etc.

If you are logging in from the Facebook website, you should at least have signed up using your email address. This is an example of a prerequisite for testers. But if you can log in to the system without any signup, this is a defect in production.

Bugs usually occur due to unknown defects, control flow errors, command errors, data type mismatch, missing command, etc. Sometimes, the bugs can also occur due to communication errors. I have listed some of the most common examples of software bugs in the below section.

These software bugs or defects or errors whatever you may call them cause a serious problem while doing the project if treated untimely. In a program, a control flow is an order in which individual functions are executed within a system. An error in the sequence or logic is known as a control flow error or a command error.

Many reasons, e. Usually, a missing command is solved by a developer easily. In an online ludo product, if you roll your dice after choosing a color, it is a sequential flow error.

Each type of software has its unique quality requirements, including how it should work if used. A functionality error can occur whenever a software function fails to comply as expected.

As an instance, you might recognize this as a functionality error if the minimize button on software closes the program.



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