https://hdl.handle.net/20.500.12412/2549 Wed, 06 May 2026 02:12:29 GMT 2026-05-06T02:12:29Z https://hdl.handle.net/20.500.12412/5929 Decision-making support for input data in business processes according to former instances Pérez Álvarez, José Miguel; Parody Núñez, María Luisa; Gómez-López, María Teresa; Martínez Gasca, Rafael; Ceravolo, Paolo Business Processes facilitate the execution of a set of activities to achieve the strategic plans of a company. During the execution of a business process model, several decisions can be made that frequently involve the values of the input data of certain activities. The decision regarding the value of these input data concerns not only the correct execution of the business process in terms of consistency, but also the compliance with the strategic plans of the company. Smart decision-support sys tems provide information by analyzing the process model and the business rules to be satisfied, but other elements, such as the previous temporal variation of the data during the former executed instances of similar processes, can also be employed to guide the input data decisions at instantiation time. Our proposal consists of learning the evolution patterns of the temporal variation of the data values in a process model extracted from previous process instances by ap plying Constraint Programming techniques. The knowledge obtained is applied in a Decision Support System (DSS) which helps in the maintenance of the alignment of the process execution with the organizational strategic plans, through a framework and a methodology. Finally, to present a proof of concept, the proposal has been applied to a complete case study. Fri, 01 Jan 2021 00:00:00 GMT https://hdl.handle.net/20.500.12412/5929 2021-01-01T00:00:00Z https://hdl.handle.net/20.500.12412/5928 Using Distributed CSPs to Model Business Processes Agreement in Software Multiprocess Parody Núñez, María Luisa; Gómez-López, María Teresa; Martínez Gasca, Rafael; Borrego, Diana A business process consists of a set of activities which are performed in a coordination way to obtain an objective. Sometimes the definition of this objective using only a classic business processes management is not possible. When the choreography of the processes cannot be defined with a combination of tasks using sequences, conditions, ’xor’, ’or’ and ’split’ control flow patterns, another representation and solution are necessary to be used. This problem makes difficult the decision making in software management projects. In this paper a way to describe a process agreement is described where the execution and the number of tasks execution order of the Web Services cannot be defined. As a case study, the resource distribution in a multiproject development environment is used. In this case, the processes have to achieve an agreement in function of the business rules that relate the processes. In order to achieve this objective, the Distributed Constraint Satisfaction Problems are used to model and solve this type of problems. Sat, 01 Jan 2011 00:00:00 GMT https://hdl.handle.net/20.500.12412/5928 2011-01-01T00:00:00Z https://hdl.handle.net/20.500.12412/5927 Process Instance Query Language to Include Process Performance Indicators in DMN Pérez Álvarez, José Miguel; Gómez-López, María Teresa; Parody Núñez, María Luisa; Martínez Gasca, Rafael Companies are increasingly incorporating commercial Business Process Management Systems (BPMSs) as mechanisms to automate their daily procedures. These BPMSs manage the information related to the instances that flow through the model (business data), and recover the information concerning the process performance (Process Performance Indicators). Process Performance Indicators (PPIs) tend to be used for the detection of possible deviations of expected behaviour, and help in the post-mortem analysis and redesign by improving the goals of the processes. However, not only are PPIs important in terms of their ability to measure and detect a derivation, but they should also be included at decision points to make the business processes more adaptable to the process reality at runtime. In this paper, we propose a complete solution that allows the incorporation of the PPIs into decision tasks, following the Decision Model and Notation (DMN) standard, with the aim of enriching the decisions that can be taken during the process execution. Our proposal firstly includes an extension of the decision rule grammar of the DMN standard, by incorporating the definition and the use of a Process Instance Query Language (PIQL) that offers information about the instances related to the PPIs involved. In order to achieve this objective, a framework has also been developed to support the enrichment of process instance query expressions (PIQEs). This framework combines a set of mature technologies to evaluate the decisions about PPIs at runtime. As an illustration a real sample has been used whose decisions are improved thanks to the incorporation of the PPIs at runtime. Fri, 01 Jan 2016 00:00:00 GMT https://hdl.handle.net/20.500.12412/5927 2016-01-01T00:00:00Z https://hdl.handle.net/20.500.12412/5926 Extending BPMN 2.0 for Modelling the Combination of Activities That Involve Data Constraints Parody Núñez, María Luisa; Gómez-López, María Teresa; Martínez Gasca, Rafael The combination of activities to achieve optimal goals some times has a complex solution. Business Process Model and Notation (BPMN) 2.0 facilitates the modelling of business processes by providing new artifacts, such as various types of tasks, source of data and relations between tasks. Sometimes, although the order of the activities can be known, the concrete data values that the activities interchange to opti mize their behaviour needs to be found, specially when input parameters of an activity affect to the input parameter of the others. Taking into ac count the lack of priority and clear sequential relationship between the activities of such combination, a deep analysis of possible models and data input values for the activities is necessary. For that reason, an ex tension of BPMN 2.0 with a new type of sub-process and its associated marker is proposed. The aim of this new sub-process is to define, in an easy way, a combination of several activities to find out, in an automated way, the concrete values of the data handling that optimize an overall objective. Sun, 01 Jan 2012 00:00:00 GMT https://hdl.handle.net/20.500.12412/5926 2012-01-01T00:00:00Z