Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Decision Management and software development I – Agile
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 > Decision Management and software development I – Agile
Business IntelligenceCRMData MiningPredictive Analytics

Decision Management and software development I – Agile

JamesTaylor
JamesTaylor
5 Min Read
SHARE

Last week I posted Focusing on decisions to improve the software end product and I decided that this week’s posts would be a series of follow-ups on how decision management can and should impact software development. Today on how it should impact/be a part of Agile, tomorrow on Model-Drive Engineering and Thursday on DSLs (Domain Specific Languages).

In the article I started to discuss the incongruity of developers claiming to follow the Agile tenets and yet still insisting on writing procedural code that no business user could possibly read. In particular, how can you collaborate with someone who can’t read what you are writing and how can you be responsive to change if any change requires a development cycle, even an Agile one?

If, in contrast, you applied decision management in an Agile environment you would see some real differences:

  • Business users, business analysis and programmers could collaborate around the same code (business rules) and everyone could understand what it did.

    Because business rules languages are declarative and verbose, business users and analyst…

More Read

“The Open Cloud Consortium (OCC): supports the development of standards for cloud computing and…”
Appreciate the Profound
Predictive Analytics, Business Intelligence, and Strategy Management
Healthcare Information Systems Need ADW Therapy!
How to Implement BPM in Your Organization


Copyright © 2009 James Taylor. Visit the original article at Decision Management and software development I – Agile.

Last week I posted Focusing on decisions to improve the software end product and I decided that this week’s posts would be a series of follow-ups on how decision management can and should impact software development. Today on how it should impact/be a part of Agile, tomorrow on Model-Drive Engineering and Thursday on DSLs (Domain Specific Languages).

In the article I started to discuss the incongruity of developers claiming to follow the Agile tenets and yet still insisting on writing procedural code that no business user could possibly read. In particular, how can you collaborate with someone who can’t read what you are writing and how can you be responsive to change if any change requires a development cycle, even an Agile one?

If, in contrast, you applied decision management in an Agile environment you would see some real differences:

  • Business users, business analysis and programmers could collaborate around the same code (business rules) and everyone could understand what it did.

    Because business rules languages are declarative and verbose, business users and analysts can read and write them. No errors of transmission, no confusion as to what the “code” means.

  • Business users and business analysts could be empowered to make some of their own changes so that the whole system was more responsive to change.

    Business rules management systems provide all sorts of tools for exposing all or some of the rules and all or some of their structure to business users to modify. A BRMS also handles updates of these rules so there is no (or at least much less) need for the whole specify/code/test/deploy cycle.

  • The business logic would not need any documentation even for the business users as they could read the logic as written in the business rules.
  • The business rules would be the specification so that there was only a single source for the logic – the rules themselves.

    And of course a BRMS manages these rules in a repository with versioning, audit trails, impact analysis and more.

  • For many decisions the developers would simply create the shell of the decision and then let the business users and analysts create, modify and evolve the business rules for themselves.

I am sure that developers who claim they are following the Agile tenets while using traditional code mean well, but are they really Agile? Personally I doubt it. Unless the business is part of the project in a meaningful way they cannot be and with most coding languages that’s just not possible.

Decision management makes Agile software development truly Agile.


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management
big data and AI
The Intersection of Big Data and AI in Project Management
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Integrating Big Data and More with Your Data Warehouse

4 Min Read
role of AI and computer-aided design
Artificial Intelligence

The Fascinating Role of AI in the Evolution of Computer-Aided Designs

4 Min Read

It’s not about the software… but…

7 Min Read
fintech
Artificial IntelligenceBlockchainExclusiveFeaturedFintechIT

Where Fintech Is Headed in 2018

6 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?