Automatic Identification of Software System Differences

Steinholtz, Bo; Walden, Kim

doi:10.1109/tse.1987.233186

Cited by 8 publications

(1 citation statement)

References 6 publications

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“…An associated technique for identifying changes between versions of software [6] is a key approach when applied to meta-data and is instrumental to an automated update approach.…”

Section: Software Version Managementmentioning

confidence: 99%

Lifecycle and generational application of automated updates to MDA based enterprise information systems

Davis¹,

Chang²

2011

Proceedings of the Second Symposium on Information and Communication Technology - SoICT '11

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Large scale Enterprise Information Systems and EnterpriseResource Planning style applications present significant costs and issues during upgrades and as a consequence can lead user organisations to defer potential upgrades. An objective of our meta-data EIS application framework is to significantly reduce these concerns to make new EIS features more redaily available.Our meta-data EIS applications model framework seeks to minimise the majority of these upgrade issues by standardising all update procedures to become an updated stream of sequential meta-data changes, rather than compiled code modules. A key attribute of this update process is the embedded support for Variant Logic, any non code-based changes to the core application logic that may have been added by third parties, analogous to customisations. Logic collision detection is greatly simplified as any potential conflict can be fully identified in advance, reducing any compatibility effort for the Variant Logic.This automated update process also removes the need from vendors to produce version specific update programs, and fully automates the end user's meta-data EIS application update processes. We show that this process combined with the metadata model methodology can support close to an order of magnitude of lifecycle cost savings through successive software generations.

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“…An associated technique for identifying changes between versions of software [6] is a key approach when applied to meta-data and is instrumental to an automated update approach.…”

Section: Software Version Managementmentioning

confidence: 99%

Lifecycle and generational application of automated updates to MDA based enterprise information systems

Davis¹,

Chang²

2011

Proceedings of the Second Symposium on Information and Communication Technology - SoICT '11

View full text Add to dashboard Cite

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A tool for storing and exploring ideas

Robson

1992

Computer Assisted Learning

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Runtime Integration Capability for Distributed Model Driven Applications

Davis

2013

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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Geographically distributed organizations face unique challenges to effectively implement shared information services across the enterprise. Traditional solutions require options such as establishing large centralized application and database servers, which simplifies some data integration issues but involves higher associated centralization risks with potential scalability limitations, or establishing multiple de-centralized application servers optionally arranged in hierarchical hubs, requiring significant customization and data migration functions to be developed, reducing the level of risk but incurring additional expenditure on data integration and transfer. Our ongoing development of a distributed temporal meta-data framework for Enterprise Information Systems (EIS) applications seeks to overcome these issues with the application logic model supporting the capability for direct integration with similar distributed application instances to readily provide: data replication, transfer, and transformations; centralized authorization and distribution of core identity data; sharing and deployment of modified logic model elements; and workflow integration between application instances.

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Automatic Identification of Software System Differences

Cited by 8 publications

References 6 publications

Lifecycle and generational application of automated updates to MDA based enterprise information systems

Lifecycle and generational application of automated updates to MDA based enterprise information systems

A tool for storing and exploring ideas

Runtime Integration Capability for Distributed Model Driven Applications

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