We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Hardcoding + procedural code = bad news
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > Hardcoding + procedural code = bad news
Business IntelligenceCRMData MiningPredictive Analytics

Hardcoding + procedural code = bad news

JamesTaylor
JamesTaylor
6 Min Read
Hardcoding + procedural code = bad news
Illustration generated with Qwen Image.
SHARE

Copyright © 2009 James Taylor. Visit the original article at Hardcoding + procedural code = bad news.

In a blog post about Hardcoding Considered Harmful – or is it? Jeff Palermo said

Oren Eini boldly makes the assertion that a system is simpler to maintain when configuration is hard-coded in one place within the system. Coupled with an automated testing and deployment process, changing configuration can be just as simple and predictable as possible. Oren asserts that hard-coding as much as possible enhances maintainability. He then defends his position with an example in a subsequent post.

In the example post Oren has this code snippet:

public class DiscountPreferredMembers : OnOrderSubmittal
{
	public override void Execute()
	{
		if ( User.IsPreferred )
			Order.AddDiscountPrecentage(5);
	}
}

He goes on to say:

More Read

Weathering the Stormy Economy
Weathering the Stormy Economy
The Impact of Artificial Intelligence on Social TV
5 Innovative and Diverse Uses of Big Data
Want to Get Certified in Data Mining?
Data Governance? What’s That? (And How Can Companies Fix It?)

We hard code the rules, which is the easiest approach to getting things done. Because we have a structured way of doing that, we can now apply the ways in which we use it. For instance, if we wanted to support runtime replacements of rules, that is easy, all we need to do is to provide a FileSystemWatcher and reload them. If we want to add a rule, we just create a new class for that. If we want to modify a rule, we go and change the hard coded logic.

Wow – the things a programmer will describe as simple! What if this had been hard-coded in a Business Rules Management System or BRMS?

  • It would still be hard-coded and easy to write.
  • It would be deployed as a simple to use, structured component just as Oren describes.
  • If we wanted to support runtime replacement of the rule we would have to do nothing (the BRMS already handles that).
  • If we wanted to add a rule we would just add a rule – no need to create another class.
  • Modification of the rule would be about the same.

The differences become more extreme as the complexity of the decision we are talking about increases. If there were 5 or 10 or 100 rules that had to be applied, as there often are in discount scenarios. Now we would end up with either lots of classes and/or methods and nested if..thens. Not with business rules – just a simple, flat list of rules that are easy to read, easy to manage and easy to change. The problem with this example is not so much that it has been hard coded as that it has been hard-coded in a language that is, to quote Ira Fuch

…syntactic, abbreviated, and procedural, as opposed to semantic, verbose, and declarative

Hard-coding in business rules would dramatically improve the approach Oren proposes. Indeed many BRMS customers do exactly this – they use the BRMS and the business rules syntax but they continue to hard code the rules behind their decisions – developers just write rules, not code pretending to be rules. Now Jeff goes on to say:

I agree with Oren.  The first draft of some functionality should hard-code everything.  Then subsequent revisions will cause some information to be factored out into mediums that can be maintained while suppporting all the requirements in scope.  The requirement cause us to make decisions about what information to hard-code and which information to soft-code.

I understand the point Jeff and Oren are making here – soft-coding things can make them more complex than is necessary and can, especially if done thoughtlessly, create maintenance problems. However hard-coding in traditional procedural languages like Java or C# means creating a procedural and abbreviated piece of code that will become increasingly hard to maintain as its complexity increases and that business users will not find approachable or easy to understand. Hard-coding in business rules avoids this problem and, when something does need to be “soft-coded”, a BRMS allows the easy transition to business user rules management using template-driven or other approaches layered on to the same underlying rules execution and management environment.

Hard-coding may not be harmful absolutely all the time but coding business rules in code probably is.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article’s core relationship is between growing compute density and adaptable rack hardware that
6 Details That Make a Data Centre’s Server Room Easier to Scale
Best Practices Data Management Exclusive IT
Flat editorial illustration: The article’s core relationship is a transfer of discipline from regulated laboratories to analytics
What Business Intelligence Teams Can Learn from Lab Data Governance
Business Intelligence Exclusive
Flat editorial illustration: A guaranteed reward can raise participation while skewing the respondent pool toward active customer
Incentive-Driven Response Bias: Auditing Sample Composition Before You Trust Survey Data
Big Data Data Quality Exclusive
Flat editorial illustration: The article’s core relationship is observable blockchain activity becoming a trustworthy business me
Blockchain Dashboards Need Better Definitions, Not More Charts
Blockchain Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Warranty Management - New rules to apply
Business IntelligenceCRMData MiningPredictive Analytics

Warranty Management – New rules to apply

4 Min Read
Knowledge Sharing - The "New" Power in the Enterprise
Business IntelligenceKnowledge ManagementSocial Data

Knowledge Sharing – The “New” Power in the Enterprise

9 Min Read
Agile
Business IntelligenceData Management

3 Ways Data Can Keep Your Company Agile for Years to Come

7 Min Read
The Right Stuff: Final Episode in the "Potholes of BI" Series
Best PracticesBusiness Intelligence

The Right Stuff: Final Episode in the “Potholes of BI” Series

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?