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.

Check our similar posts

IT Risk and Control Solutions Specialists – Why you need them more than ever

Over the years, the capabilities of IT systems have certainly grown by leaps and bounds. But so have the risks that accompany them. Countless threats to IT systems now exist that are capable of seriously disrupting business operations. That’s why companies have to conduct assessments aimed at making sure their systems are still capable of functioning effectively, efficiently, and securely all the time.

If you think you’ve been lucky enough to be spared from these threats, then maybe it’s because you haven’t conducted a risk assessment on your IT system recently. All too often, we hear of CIOs who believed their IT system was in tip-top condition, only to be later caught off-guard by a critical system breakdown that would eventually cripple their business for days or weeks.

More information assets to look after

If, before, you only had to worry about regular office applications, workstations, a LAN and a server, today’s varied and more sophisticated information assets are more challenging to maintain.

In addition to network operating systems, database management systems, content management systems, email systems, virtualization platforms, document management systems, business intelligence applications, and accounting software, a typical enterprise may also have to look after firewalls, intrusion detection systems, storage and backup systems, and data loss prevention systems, to mention a few.

These understandably require the services of experts spanning a wide range of skill sets.

Rising threats to corporate identity and privacy

Individuals are no longer just the ones being preyed upon by identity thieves. Businesses can now be subject to corporate identity theft as well. You could wake up one day finding your business already accused of carrying out illegal activities, a big chunk of your money gone, and your directors? seats already occupied by complete strangers.

To make things worse, corporate threats aren’t just coming from the outside.

Threats to corporate privacy, for instance, can come from within the organisation itself. Sensitive information like trade secrets and financial data are often leaked out (purposely or inadvertently) by employees. This is largely caused by the ever growing number of options for communications and transferring data (e.g. emails, instant messaging, blogs, social networking sites, ftp, P2P, etc.).

Greater challenges in designing, developing, and implementing policies and programs

Laws and regulations like SOX and Solvency II, which have direct impacts on IT, are on the rise. That is why corporate policies and programs now require sweeping changes. You now have to be more deliberate in integrating IT when establishing governance, internal controls, change management, incident management, and performance management.

A solid understanding on widely accepted frameworks and good practices like COBIT, COSO, and CMMI will help you considerably in such undertakings. Using these frameworks as guidelines will not only help you keep your policies and programs attuned to the times, they will also keep you in compliance with regulations.

Increasing demand for disaster recovery and business continuity capabilities

Every time you have a down time, you increase the probability of losing your customers to competitors. The longer the down time, the greater that probability becomes. Therefore, when a major disruption strikes, you should be able to recover at the soonest. If possible, you should be able to deliver products and services as usual.

This of course requires spending to increase your disaster recovery (DR) and business continuity (BC) capabilities. Are you ready for it? Migrating your IT infrastructure from traditional systems to the latest technologies that are better equipped for BC/DR requires careful planning and implementation to ensure an optimal return on investment.

Contact Us

  • (+353)(0)1-443-3807 – IRL
  • (+44)(0)20-7193-9751 – UK
Operational Efficiency Initiatives

When was the last time you checked your technology spending against your IT infrastructure’s contribution to the bottom line?

Chances are, what’s happening underneath all those automated processes, expensive hardware, and fancy graphical user interfaces is not doing your bottom line any good.

If you don’t keep a watchful eye, your IT operations can easily nurture a lot of wastage and unnecessary costs. Underutilised servers, duplicate processes, poorly managed bandwidths, and too much complexity are among the common culprits.

For minor problems, we can eliminate wastage by setting up some technology enhancements, instilling best practices, and performing a few tweaks. However, if you’re not adequately trained on how to go about with it, your band-aid solutions can add more complexity to the mix.

Of course, there will always come a time when you will have to spend on new technologies to maintain the overall efficiency of your IT infrastructure. Whether you intend to purchase new hardware or software applications or build an entirely new infrastructure, the sheer cost of such undertakings warrants seeking expert advice.

Failure to do so can result in fragmented resources lacking in cohesiveness, which don’t contribute to efficiency at all.

Our solutions for improving operational efficiencies cover the entire spectrum: from planning what to buy, optimising what you’ve already bought, to making your team comfortable with them all. Please find time to view our solutions below and uncover ways to drive those profits up even as you work within your budget.

 

More Operational Review Blogs

 

Carrying out an Operational Review

 

Operational Reviews

 

Operational Efficiency Initiatives

 

Operational Review Defined

 

A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

Contact Us

  • (+353)(0)1-443-3807 – IRL
  • (+44)(0)20-7193-9751 – UK

Ready to work with Denizon?