Purpose - The purpose of this paper is to present a business process measurement framework for the evaluation of a corpus of business processes modelled in different business process modelling approaches. The results of the application of the proposed measurement framework will serve as a basis for choosing business process modelling approaches. Design/methodology/approach - The approach uses ideas of the Goal Question Metric (GQM) framework to define metrics for measuring a business process where the metrics answer the questions to achieve the goal. The Weighted Sum Method (WSM) is used to aggregate the measure of attributes of a business process to derive an aggregate measure , and business process modelling approaches are compared based on the evaluation of business process models created in different business process modelling approaches using the aggregate measure. Findings - The proposed measurement framework was applied to a c orpus of business process models in different business process modelling approaches and is showed that insight is gained into the effect of business process modelling approach on the maintainability of a business process model. From the results, business p rocess modelling approaches which imbibed the principle of separation of concerns of models, make use of reference o r base model for a family of business process variants and promote the reuse of model elements performed highest when their models are evalu ated with the proposed measurement framework . The results showed that the applications of the proposed framework proved to be useful for the selection of busine ss process modelling approaches. Originality - The novelty of this work is in the application o f WSM to integrate metric of business process models and the evaluation of a corpus of business process models created in different business process modelling approaches using the aggregate measure. Keywords Business process measurement, Business process metrics , business process modelling, Software metrics , Business process management 1. Introduction Business process measurement enables organizations to improve their performance since the measurements evaluate the efficiency of business processes and so suggest improvement to such processes. The measurements of business processes rely on structural metrics which measure the attributes of a business process such as the number of nodes, the number of split constr ucts etc. (Vanderfeesten et al. , 2007) . Some a ttributes of a business process model such as understandability and modifiability which belong to the more general concepts of maintain ability correlate with many metric s of the business process model (Sánchez -González et al. , 2010) and stakeholders have different prefe rences of metric for measuring these attributes (Yen, 2009) . The re is a lack of consensus amongst stakeholders in organizations and authors on the metrics for the measurement of a business process (Rolón et al. , 2006; Yen, 2009) . Some of the important qualities which organizations want from a business process such as maintainability, understandability, modifiability and usabi lity etc . have many attributes . Therefore, it is necessary to have a measurement framework to derive a measure that reflects the different attributes (Azim et al. , 2008; Sánchez -González et al. , 2010) . The individual m etric for measuring business processes are not adequate on their own to measure quantities which have many attributes, which is a knowledge gap that needs to be filled. The need to measure quantities with multiple attributes arises in a situation of modell ing a family of business processes. The modelling of a family of business process variants can be very challenging because when variants are modelled separately, it leads to duplication of nodes, resulting in redundancies and inconsistencies. Meanwhile, co nsolidating all variants in one monolithic model, which is a superset of all variants in a family leads to less redundancy but more complexity of the model and therefore hindering comprehensibility of the model (Milani et al. , 2016) . In this situation, it becomes necessary to derive a measure for the trade -off b etween the redundancy and complexity of the business process model. We proposed a measurement framework called Aggregate Metric Model (AMM) for evaluating a corpus of business processes create in d ifferent business process modelling approaches where the metrics of the attributes are aggregated to derive a single measure. The objective of this research is to: - Derive aggregate measures of a business process model that reflects trade -offs of different metrics of a business process model . - Derive measure that reflects the stakeholders’ different p