8 Best Practices To Reduce Technical Debt

When past actions in software development return to haunt you…

Is your business being bogged down by technical debt? Let’s look at measures that you can take to reduce it and scale your operations without the weight pulling you back. 

 

Work with a flexible architecture.

Right from the word go, you want to use architecture whose design is malleable, especially with the rapid rate of software evolution witnessed today. Going with an architecture that keeps calling for too much refactoring, or whose design won’t accommodate future changes will leave you with costly technical debt. Use scalable architecture that allows you to modify or add new features in future releases. While on this, complex features required in the final product should be discussed at the planning stage, that way simplified solutions that will be easier to implement can be identified, as this will lead to less technical debt in the long run. 

 

The Deal with Refactoring 

This is basically cleaning up the code structure without changing its behaviour. With the updates, patches, and new functionalities that are added to the systems and applications, each change comes with the threat of more technical debt. Additionally, organisations are increasingly moving their IT infrastructure from on-premises facilities to colocation data centres and deploying them on the cloud. In such scenarios, some workarounds are often needed to enable the systems to function in the new environments, which they hadn’t been initially developed to accommodate. Here, you will need to take some time to refactor the existing system regularly, streamlining the code and optimizing its performance – and this will be key to pay down the tech debt. When working with a flexible architecture from the start, the amount of work that goes into this will be reduced, meaning there’ll be less tech debt involved. 

 

Run discovery tests

Discovery testing essentially takes place even before a line of code is written for the system or application. This takes place at the product definition stage, where human insight software is used to understand the needs of the customer and is particularly helpful in setting priorities for the development work that will be carried out. It gives your business the opportunity to minimize the technical debt by allowing customers to give you a roadmap of the most pertinent features desired from the product. 

 

Routine code review

Getting a fresh look at the product or application from different sets of eyes in the development team will improve the quality of the code, thus reducing technical debt. There’s a catch though – this should be planned in a convenient way that doesn’t end up becoming a burden for the developers. Here are suggestions:

Break down pull requests

Instead of having complex pull requests where numerous changes in the code are introduced at a go, have this broken down into smaller manageable pull requests, each with a brief title and description about it. This will be easier for the code reviewer to analyse. 

● Define preferred coding practices

Documenting the preferred coding style will result in cleaner code, meaning the developers will focus their effort on reviewing the code itself, not losing time on code format debates.

 

Test automation

Relying only on scheduled manual testing opens you up to the risk of technical debt accruing rapidly, and not having sufficient resources to deal with the accumulated problems when they are identified. Automated testing on the other hand enables issues to be uncovered quicker, and with more precision. For instance, you can have automated unit tests that look at the functioning of the individual components of a system, or regression testing where the focus is on whether the code changes that have been implemented have affected related components of the system. However, establishing and maintaining automated testing will require quite some effort – making it more feasible for the long-term projects.

 

Keep a repository that tracks changes made

Do you have a record of changes made in the software? Keeping one in a repository that is accessible by the development team will make it easy to pin-point problems at their source. For instance, when software is being migrated to a new environment, or legacy software is in the process of being modernised, you will want to have an accurate record of changes that are being introduced, that way if there is an undesired impact on the system this it will be easier to zero-down on the cause.

 

Bring non-technical stakeholders on board

Does this conversation sound familiar?

Development Team: “We need to refactor the messy code quickly”

Product Team: “We have no idea what you are saying”

On one hand, you have the management or product team defining the product requirements, creating a project roadmap, and setting its milestones. On the other hand, there’s the software development/engineering that’s primarily focused on the product functionality, technical operations and clearing the backlog in code fixes. Poor communication between the two teams is actually a leading cause of technical debt.

For you to take concrete steps in managing your technical debt, the decision-makers in the organisation should understand its significance, and the necessity of reducing it. Explain to them how the debt occurred and why steps need to be taken to pay it down – but you can’t just bombard them with tech phrases and expect them to follow your thought process. 

So how do you go about it? Reframe the issues involved with the technical debt and explain the business value or impact of the code changes. Basically, the development team should approach it from a business point of view, and educate the management or production team about the cost of the technical debt. This can include aspects such as expenses in changing the code, salaries for the software engineers especially when the development team will need to be increased due to the workload piling up, as well as the revenue that is lost when the technical debt is allowed to spiral. 

The goal here is to show the management or production team how issues like failing to properly define the product requirements will slow down future software development, or how rushing the code will affect the next releases. That way, there will be better collaboration between the teams involved in the project. 

 

Allocate time and resources specifically for reducing technical debt

With management understanding that working with low-quality code is just like incurring financial debt and it will slow down product development, insist on setting time to deal with the debt. 

For instance, when it comes to the timing of application releases, meetings can be conducted to review short- and longer-term priorities. These meetings – where the development team and product team or management are brought together, the developers point out the software issues that should be resolved as a priority as they may create more technical debt. Management then ensures that budgets and plans are put in place to explicitly deal with those ongoing maintenance costs.

 

Retire old platforms

While most of the resources are going into developing new applications and improving the systems being used, the organisation should also focus on retiring the old applications, libraries, platforms, and the code modules. It’s recommended that you factor this into the application release plans, complete with the dates, processes and costs for the systems involved. 

 

Total overhaul

When the cost and effort of dealing with the technical debt far outweighs the benefits, then you may have to replace the entire system. At this tipping point, you’re not getting value from the technical debt, and it has become a painful issue that’s causing your organisation lots of difficulties. For instance, you may be dealing with legacy software where fixing it to support future developments has simply become too complicated. The patches available may only resolve specific issues with the system, and still leave you with lots of technical debt. Here, the best way out is to replace the system in its entirety. 

 

Final thoughts

Every software company has some level of tech debt. Just like financial debt, it is useful when properly managed, and a problem when ignored or allowed to spiral out of control. It’s a tradeoff between design/development actions and business goals. By taking measures to pay down your organization’s debt and address its interest as it accrues, you will avoid situations where short term solutions undermine your long-term goals. This is also key to enable your business to transition to using complex IT solutions easier, and even make the migration between data centres much smoother. These 8 measures will enable you to manage your technical debt better to prevent it from being the bottleneck that stifles your growth.

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The Rights of Individuals Under The General Data Protection Regulation

The General Data Protection Regulation or GDPR is a European Union law reinforcing the rights of citizens concerning the confidentiality of their information, and confirming that they own it. We thought it would be interesting to examine the GDPR effective 25 May 2018 from an Irish citizen?s perspective. This article is a summary of information on the Data Protection Commissioner?s website, but as viewed through a businessperson?s lens.

How the Office Defines Data Protection

The Office believes that organisations receiving personal details have a duty to keep them private and safe. This applies inter alia to information that individuals supply to government, financial institutions, insurance companies, medical providers, telecoms services, and lenders. It also applies to information provided when they open accounts.

This information may be on paper, on computers, or in video, voice, or photographic records. The true owners of this information, the individuals have a right:

  • To make sure that it is factually correct
  • To the assurance that it is shared responsibly
  • That all with access only use it for stated purposes

Any organisation requesting personal information must state who they are, what the information is for, why they need to have it, and to whom else they may provide it.

Consumer Rights to Access Their Personal Information

Private persons have a right under the GDPR to a copy of all their information held or processed by a business. The regulation refers to such businesses as ?data controllers? as opposed to owners, which is interesting. They have to provide both paper and digital data, and ‘related information?.

Data controller fees for this are discretionary within limits. The request may be denied under certain circumstances. The data controller may release information about children to parents and guardians, only if it considers a minor too young to understand its significance. Other third parties such as attorneys must prove they have consent.

Consumer Rights to Port Their Data to Different Services

Since the personal information belongs to the individual, they have a right not only to access it, but also to copy or move it from one digital environment to another. The GDPR requires this be ?in a safe way, without hindrance to usability?. An application could be a banking client that wants to upload their transaction history to a third party price comparison website.

However, the right to data portability only applies to data originally provided by the consumer. Moreover, an automated method must be available for porting. Data controllers must release the information in an open format, and may not charge for the porting service.

Consumer Rights to Complain About Personal Data Abuse

Individuals have a right under the General Data Protection Regulation to have their information rectified if they discover errors. This right extends to an assurance that third parties know about the changes – and who these third party entities are. Data controllers must respond within one month. If they decline the request, they must inform the complainant of their right to further remedial action.

If a data controller refuses to release personal information to the owner, or to correct errors, then the Data Protection Office has legal power to enforce the consumer?s rights. The complainant must make full disclosure of the history of their complaint, and the steps they have taken themselves to attempt to set things right.

Further Advice on Getting Things Ready for 25 May 2018

The General Data Protection Regulation has the full force of law from 25 May 2018 onward, and supersedes all applicable Irish laws, regulations, and policies from that date. We recommend incorporating rights of data owners who are also your customers into your immediate plans. We doubt that forgetting to do so will cut much sway with the Data Commissioner. Remember, you have one month to respond to consumer requests, and only one more month to close things out subject to the matter being complex.

Disadvantages of Spreadsheets

Spreadsheets are flexible, inexpensive and easy to use. They are especially handy when it comes to beating report submission deadlines or making impromptu data computations. That’s why office workers, managers and even executives have made spreadsheets their go-to solution for such undertakings and more.

Spreadsheets have become so ubiquitous, that they’ve found their way into a wide range of applications including complex modelling, accounting reconciliations, market data analysis, work flow tracking and monitoring, analytical review and financial reporting.

Unfortunately, organisations heavy reliance on spreadsheets have made these User Developed Applications (UDA) into high-risk office tools. Simple spreadsheet errors like leaving out a negative sign or a cut-and-paste mistake have already caused million-dollar discrepancies. Also, when a fraudulent employee enters into the picture, the risks become unimaginable.

Think TransAlta?s spreadsheet cut-and-paste glitch (the company later called this a ?simple clerical error?) which caused the energy firm a whopping $24 million loss or Fidelity?s overstatement of its earnings owing to the omission of the minus sign on the spreadsheet of a $1.3 billion net capital loss.

In both cases and in many other similar spreadsheet fiasco, the errors played a major role in the organisation’s decision-making, leading to disastrous results including, but not limited to financial loss, shattered investor confidence and public embarrassment.

If these are scenarios your organisation can ill afford, then it’s time to ask yourself: Do the disadvantages of spreadsheets far outweigh their benefits to merit a call for total liberation from them?

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Spreadsheet Fraud


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Large scale corporate transformation

Large scale corporate transformation are the necessary actions required to increase performance in an organisation. It leads to greater performance results and greater organisational growth. It is a lasting change and can range from getting new leaders to combining the functions of different departments. It can also involve the introduction of a new phase in the life of an organisation. Large scale corporate transformation can be measured using three variables. The first variable involves determining how deep the change penetrates to all levels of the organisation. The second variable measures how entrenched it becomes in the organisation while the third measure determines the percentage of the organisation covered in the change.

Corporate transformation is essential for a company that seeks to have a greater impact and a longer life in its business sector. The process requires time and resources. The whole establishment needs to support it for success. Not only does the top management need to back it, but stockholders and staff members also need to buy the idea. This is because when the process of corporate transformation hits a barrier, it will take the entire organisation to keep it on course and complete the process. Without the support of everyone, most organisations will not complete the process.

Business transformation in recent times has begun to combine finance, HR and IT departments into one functioning piece of an organisation. This has resulted in leaner, faster, and more efficient corporate entities that produce high results and has a greater impact in its overall functioning. These three key departments are the backbone of any organisation, and the combination of the three creates an efficient organisation that translates into high performance results.

One crucial aspect of large scale corporate transformation is IT transformation, which entails the entire overhaul of any organisation’s technology systems. It adopts a more efficient platform that enhances its overall operation. IT transformation involves the use of Service Oriented Architecture (SOA) and open systems. This process is the revamping of the existing technology used to support the organisation and is critical for aligning the business functions to the mission of the organization. It touches on the current hardware and software and how they can best be improved upon for greater results. This process is necessary in the entire business transformation.

The question that needs to be addressed is how any organisation can make this process successful. First, it requires the understanding that it is not just a goal to be achieved, but a new way of thinking embraced by the entire organisation. Secondly, the leadership in place needs to be fully involved and dedicated to the process and to realise that it takes time and effort to complete such a mission. There also needs to be flexibility and adaptability in order to learn from mistakes and keep moving forward. Constant communication is also critical to ensure that everyone involved understands the current stage and the next steps to be done. Change is the only constant and is necessary for progress and success.

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