Category: machine-learning

machine-learning

Using data replication in legacy displacement

Alessio Ferri and Tom Coggrave complete their article about introducing seams into mainframe systems by looking how we can use data replication. Done well, it can provide a rapid start…

machine-learning

Creating Seams in a Mainframe’s Batch Pipelines

Mainframe processing is often organized into pipelines of batch processes consuming and creating data files. Alessio Ferri and Tom Coggrave show a couple of ways they found to introduce seams…

machine-learning

Uncovering Seams in a Mainframe’s external interfaces

Alessio Ferri and Tom Coggrave move on to analyzing the internal seams of the application by treating the database as a coarse-grained seam. They describe how they introduced seams into…

machine-learning

Joining LinkedIn

As the enmuskification of Twitter continues, I’ve increasingly heard that more people are using LinkedIn to keep up with new professional material. So, a couple of weeks ago, I set…

machine-learning

Farewell, John Kordyback

John Kordyback, a treasured colleague and friend, died last week, aged 64. more… Source: martinfowler

machine-learning

Uncovering Seams in a Mainframe’s external interfaces

Alessio Ferri and Tom Coggrave start detailing the seams they explored with two areas of external interfaces. Batch input of files are copied to new implementations while comparing the output…

machine-learning

How to capture qualitative metrics

Abi Noda and Tim Cochran complete their article on qualitative metrics by outlining how to capture them effectively. They discuss the mental steps that people go through as they respond…

machine-learning

How to capture qualitative metrics

Abi Noda and Tim Cochran complete their article on qualitative metrics by outlining how to capture them effectively. They discuss the mental steps that people go through as they respond…

machine-learning

Code samples for the opening chapter of Refactoring

From time to time people ask me for a copy of the code I used in the opening chapter of Refactoring, so they can follow along themselves. I had Reasons…

machine-learning

The Benefits of Qualitative Metrics

Abi Noda and Tim Cochran continue their discussion on using qualitative metrics to assess the productivity of development teams. In this installment they classify qualitative metrics into attitudinal and behavioral…