To maintain software, the person performing the maintenance must first analyze and understand the software. Much of the software in existence today was initially written in an unstructured manner and then patched on an as-needed basic over a long period of time. This type of software structure results in what is known as "spaghetti code," which is complex and unstructured. To add to the problem, when changes are made to this kind of software, there is a higher risk of creating new defects unintentionally.
Unreliable results or performance - This means that the software does not deliver consistently correct results or cannot be depended to work correctly each time it is used. Inadequate support of business needs or objectives - This refers to software that is inflexible to meeting business needs.
For example, a system may be difficult to modify to meet and organization's needs or may lack features to allow the users to customize business rules. No longer supported by the vendor - This occurs when a vendor ceases to support a particular software product.
This can occur due to the vendor's decision to no longer support a product, due to the vendor going out of business, or the vendor selling the product to another vendor. Incorrect or inadequate interfaces with other systems - This means that the software does not correctly accept input data, control, parameters, etc. An example of this is when a system has an electronic data interfaces EDI with external systems, but does not correctly receive or format the information.
Incorrect matching and merging of data - This refers to situations where data is obtained from one source and matched or merged with data from another source.
Examples include sorting multiple files into a single file or table or matching data from a master file to an ID number entered as a lookup entry. Data searches that yield incorrect results - This means that a search retrieves incorrect data as the result of a search.
In the worst case situation, the data retrieved appears to be correct in format, but only by tracing back to source documents and other original data can it be determined that the data is incorrect for the search criteria. An example of this would be searching for the time worked by a particular employee in a payroll system. The employee's name at the top of the information may be displayed correctly, but the detailed time data may belong to another employee.
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. Collaboration across multiple teams and organizations requires the right mindset. You must know the objectives.
While you want to use latest technologies you have to know the end goal and determine whether or not the latest technologies are the best option. Time to value is the biggest challenge. Automate everything to mimic every possible situation: pre-built model, automated build and tear down, more complexity with more customization. Three things: 1 Scope the building design solution and changes in architectural patterns.
There's a lot of churn throughout application development. We see people looking for newer ways to develop apps. How to create service factors between agility and manageability? While Docker has made it easier, is it enough? How do you go back in time to test at restart? People are thinking of an app platform continuum that can be moved around. Lack of business value and planning. Cultural readiness. Companies must have certain attributes before becoming a great software company.
How testing is done. Make it easier to automate the testing cycle to move the software through the pipeline more quickly. Everything needs to be written in a way it can be automated.
Work with customers on end-to-end processes so they can optimize. Many companies are still not aware of security issues. We typically work with the information security officers to address all three. There are so many backed-up needs that all needs have been elevated to critical. Many conventional software development approaches are time consuming, so it sometimes takes longer than expected to produce new systems.
They need to change, so that the time taking for the program to provide value to its clients is decreased. Since software is intertwined with all facets of our lives, we need to be able to trust the software. This is especially true for remote software systems, which accessed via a web page or web service interface. We must ensure that unauthorized users are unable to target our applications, and that information is protected and secured.
The software must be built over a broad range of scales, from very tiny embedded systems in portable or wearable devices through the Internet sizes, a cloud-based framework that serves global population. Enterprise companies cannot accept all of the latest technologies because it's challenging and not all technologies are in the same language.
Integrating programming languages and operations, which combine the latest with the oldest can be difficult. The door is open for "restful-ish" API, which creates integration issues as well as the speed on which systems and software move. API: Application programming interface.
It leads to quicker deprecation with little support for the devices. There is a compromise between what to use and when to keep up to date. There are constant adjustments in business requirements, schedules, or pivots and new functionality with the goal of securing extra funding. We're seeing people looking for new ways of creating software. Hybrid cloud was a non-starter but now it's a concept that has become more focused.
People are speaking about a continuum app network that can be passed around. It requires information about the environment.
Everybody has to be diligent about keeping devices up-to-date and making sure they're secured. Challenges include usability, protection, and properties. Lack of information and exposure contribute to confusion.
To gain the skills required to work together you need exposure for all. The right mentality is necessary for teamwork across multiple teams and organizations. If you have no systems, then you're taking a step backward.
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