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
    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
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 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
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

Automation Tools
3 Ways Automation Tools Use Big Data To Drive Business Growth
Artificial Intelligence, Business, And Our Future Job Security
How the Consumerization of Data Leads to More Quality of Life Improvements
On Text Analytics vs Machine Translation
How Can Augmented Reality Benefit The Manufacturing Industry?

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

How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations -- AI-generated illustration
How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations
News
How Great Content Moves Through A Marketing Ecosystem -- AI-generated illustration
How Great Content Moves Through A Marketing Ecosystem
Exclusive Infographic Marketing
What Your Brand Misses That Data Reveals -- AI-generated illustration
What Your Brand Misses That Data Reveals
Big Data Exclusive Infographic
5 Common Mistakes Businesses Make During the Risk Assessment Process -- AI-generated illustration
5 Common Mistakes Businesses Make During the Risk Assessment Process
Business Intelligence Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Text Analytics Pros Daily
Business Intelligence

Text Analytics Pros Daily

2 Min Read
Skype Answering Machine
Data Mining

Skype Answering Machine

1 Min Read
How Are Business Analysts Like Teenagers on the Internet?
AnalyticsBusiness IntelligenceCommentaryCulture/Leadership

How Are Business Analysts Like Teenagers on the Internet?

7 Min Read
What Does a VC Look for in a Big Data Startup? [VIDEO]
Big DataBusiness RulesCloud ComputingHadoop

What Does a VC Look for in a Big Data Startup? [VIDEO]

2 Min Read

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

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

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?