Maturity models (MM) have been used by different enterprise segments. However, while many MM have been developed, few have been validated because of the lack of studies that demonstrate how to clas...

Enterprise maturity models: a systematic literature review

CMM experts strongly believe that investments in programs promoting an organization's CMM maturity yield substantial organizational and economic benefits. In particular, they argue that CMM programs that implement software process improvements can provide more benefits

http://faculty.mercer.edu/burtner_j/documents/GalinIEEECMMstudies.pdf

Are CMM Program Investments Beneficial? Analyzing Past Studies

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.

/pdf/modeling-the-dynamics-of-requirements-process-improvement-3qt7zzxzuj.pdf

Modeling the dynamics of requirements process improvement

Systems and methods of improving business processes are described. These systems and methods enable service providers to improve the quality of services delivered to customers and employees by improving service execution through the optimal selection of resources (e.g., internal resources or external resources, or both) that are invoked to execute the delivered services. In one aspect, process execution data is accessed. Business process instances are classified in accordance with a quality taxonomy. A predictive model including a set of rules for scoring business process outcomes at different stages of the business process is built based upon the classified business process instances. In another aspect, process entities to be invoked at stages of an active business process instance are selected based upon the predictive model. In another aspect, a user is prompted to define a quality taxonomy for classifying outcomes of instances of a business process.

Business processes based on a predictive model

Systems and methods of semantically investigating business processes are described. In one aspect, execution data that is generated by one or more components of a business process platform is accessed. The data is generated during execution, at each of one or more nodes, of one or more instantiations of one or more business processes each involving a set of one or more activities each defined by a respective service and performed by a respective set of one or more resources. The accessed execution data is mapped into one or more semantic concepts to obtain outcome data. The outcome data is visualized in terms of a user-selected perspective.

Semantically investigating business processes

Manufacturing entities are always looking for more efficient ways of producing products because they realize that an efficient process yields lower costs, better quality, and increased customer satisfaction. Software manufacturers are no different from their hardware counterparts in that they want to use the best software development process available. The Capability Maturity Model (CMM) for software, developed at the Software Engineering Institute (SEI) at Carnegie-Mellon University,* is a process model that provides excellent guidance to improve software development processes.

https://www.hpl.hp.com/hpjournal/96aug/aug96a1.pdf

Implementing the Capability Maturity Model for Software Development

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Implementing the Capability Maturity Model for Software Development