Metrics for the Case Management Modeling and Notation (CMMN) Specification

General and reference Metrics; Applied com- puting Business process modeling; Software and its engineering System modeling languages; Computing methodologies Model veri cation and validation;The Case Management Modeling and Notation (CMMN) speci cation, published by the Object Management Group (OMG) in 2014, describes a declarative style for modeling business processes. The declarative nature of CMMN is in- tended to supplement the procedural style of the Business Process Modeling and Notation (BPMN). Although multi- ple metrics have been developed and veri ed for BPMN, the authors are not aware of any metrics developed for CMMN. Being a relative new process speci cation the understanding of complexity metrics for CMMN ought to be bene cial for practitioners and researchers by providing a way to compare case management models. This study provides a formal description of CMMN and three metrics are de ned, namely size, length, and complex- ity. The metrics are theoretically validated using the formal framework for software measurements de ned by Briand et al. and the complexity metric is further validated using Weyuker's properties for software complexity measures.College of Engineering, Science and Technolog

Measuring Method Complexity of the Case Management (CMMN)

D.2.2 [Design Tools and Techniques]; D.2.3 [Coding Tools and Techniques]: Standards; D.10 [Design]: Rep- resentationIn 2014, the Object Management Group (OMG) published the Case Management Modeling and Notation (CMMN) ver- sion 1.0 speci cation, which is a new process modeling spec- i cation to complement its Business Process Modeling and Notation (BPMN) speci cation. The declarative nature of CMMN is intended to supplement the procedural perspec- tive of BPMN. CMMN takes a data-centric view to process modeling based on business artifacts to provide exibility for knowledge workers, while retaining the advantages of busi- ness process management (BPM) systems. As far as the researchers are aware, this research is among the rst contributions to the understanding of CMMN's method complexity in the context of other process modeling nota- tions. We used the meta-model-based method complexity approach introduced by Rossi and Brinkkemper to evalu- ate the method complexity of CMMN. The results were compared with other popular process methods, including BPMN, Uni ed Modeling Language (UML) Activity dia- grams, and Event-driven Process Charts (EPC), all of which have undergone similar evaluations by other researchers. The initial results indicated that CMMN 1.0 compares favorably with BPMN 1.2.College of Engineering, Science and Technolog

'Language has a heart': linguistic markers of evaluation in selected TRC testimonies

This paper explores how two testifiers at the Human Rights Violation hearings of South Africa's Truth and Reconciliation Commission in 1996 used selected markers of evaluation (shifts in tense, the inclusion of direct speech and code-switching) to express evaluative meanings and position themselves, the police and their audiences in relation to their narratives. Both testifiers are mothers of young activists who were pursued, detained and tortured by police in the 1980s. The paper argues that it is through the subtle though significant linguistic choices the women make that their perspective is construed and their 'narrative truth' realized

Metrics for the Case Management Modeling and Notation (CMMN) Specification

General and reference Metrics; Applied com- puting Business process modeling; Software and its engineering System modeling languages; Computing methodologies Model veri cation and validation;The Case Management Modeling and Notation (CMMN) speci cation, published by the Object Management Group (OMG) in 2014, describes a declarative style for modeling business processes. The declarative nature of CMMN is in- tended to supplement the procedural style of the Business Process Modeling and Notation (BPMN). Although multi- ple metrics have been developed and veri ed for BPMN, the authors are not aware of any metrics developed for CMMN. Being a relative new process speci cation the understanding of complexity metrics for CMMN ought to be bene cial for practitioners and researchers by providing a way to compare case management models. This study provides a formal description of CMMN and three metrics are de ned, namely size, length, and complex- ity. The metrics are theoretically validated using the formal framework for software measurements de ned by Briand et al. and the complexity metric is further validated using Weyuker's properties for software complexity measures.College of Engineering, Science and Technolog

The Cash Cows, Dogs, Stars and Problem Children of the South African Agricultural Sector

This paper investigates the development path of different agricultural sectors over the past 10 years in order to identify those subsectors that can contribute significantly towards reducing poverty and increasing national & household food security. The Boston Consulting Group (BCG) matrix was used to analyse growth patterns for different agricultural subsectors and classify them as cash cows, dogs, stars and question marks. The results show that the real average growth for the agricultural sector over the last ten years was 5.64 %. Of the 44 agricultural subsectors, 9 subsectors show a negative growth. The BCG matrix indicates one cash cow industry (sugar cane), eight dogs’(sisal, cotton, tobacco, tea, chicory, mohair, fry peas, dried fruit), fourteen stars (fowls slaughtered, maize, cattle & calves slaughtered, milk, vegetables, deciduous and other fruit, eggs, citrus fruit, wheat, potatoes, hay, viticulture, sheep and goats slaughtered, pigs slaughtered) and twenty one question marks. Institutional intervention by the public-private sectors are therefore necessary to unlock the potential of the problem children, maintain the momentum of the stars, extent the life of the cash cow and decide on the future of the dogs

NPR - The Cash Cows, Dogs, Stars And Problem Children Of The South African Agricultural Sector. (p283-293)

The South African agricultural sector liberalised in 1995 (complied by 2000) and deregulated in 1997. The South African agricultural sector is also one of the least supported sectors in the world as measured with the Producer Support Estimate by the Organisation for Economic Co-operation and Development (OECD). This created an environment where agribusiness managers, other decision makers in the agro-food chains and policy makers face many new and complex dynamics and challenges. As in many other parts of the world, South Africa faces challenges pertaining to food security and poverty. The agricultural sector can play a vital role in addressing these challenges if one considers that it has some of the stronger forward and backward multipliers (including labour multiplier) in the South African economy. This becomes even more important from a rural development point of view where approximately 60 % of the poor reside. This paper aims to investigate the development path of different agricultural sectors over the past 10 years in order to identify those sub-sectors that can contribute significantly towards reducing poverty and increasing national food security. This will provide the basis for public-private sector intervention in those sub-sectors that require intervention to unlock potential, while investing more in those sub-sectors that are already making a significant contribution. The Boston Consulting Group (BSG) Matrix was used to analyze the South African agricultural sector. By using this methodology certain patterns in the behaviour of a sub-sector can be deducted. Moreover, sub-sectors are classified as cash cows, dogs, problem children and stars. The outcome of this study can also been use as an important indicator for further sub sector analysis. The results show that the real average growth for agricultural over the last ten years was 5.64 %. Of the 44 agricultural sub-sectors a total of 9 sectors of the 44 sectors show a negative growth and 10 sectors show a below average growth. The BSC matrix indicates 1 cash cow industry, 14 stars, 21 problem children and 8 dogs. Although some of these industries do not have a big market share the industries is important, it contribute much towards the value of agriculture, it is imperative to stimulate and protect these industries. Some of these industries have a very high labour multiplier and the socio impact can be immense. Therefore it is important to analyse movement of sectors in term of growth and market share