scholarly journals Investigation and prediction of open source software evolution using automated parameter mining for agent-based simulation

2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Daniel Honsel ◽  
Verena Herbold ◽  
Stephan Waack ◽  
Jens Grabowski
Keyword(s):  
Simulation Model ◽  
Software Evolution ◽  
Prediction Models ◽  
Structural Evolution ◽  
Simulation Models ◽  
Agent Based Simulation ◽  
Specific Data ◽  
Agent Based ◽  
Project Data ◽  
The Impact

AbstractTo guide software development, the estimation of the impact of decision making on the development process can be helpful in planning. For this estimation, often prediction models are used which can be learned from project data. In this paper, an approach for the usage of agent-based simulation for the prediction of software evolution trends is presented. The specialty of the proposed approach lies in the automated parameter estimation for the instantiation of project-specific simulation models. We want to assess how well a baseline model using average (commit) behavior of the agents (i.e., the developers) performs compared to models where different amount of project-specific data is fed into the simulation model. The approach involves the interplay between the mining framework and simulation framework. Parameters to be estimated include, e.g., file change probabilities of developers and the team constellation reflecting different developer roles. The structural evolution of software projects is observed using change coupling graphs based on common file changes. For the validation of simulation results, we compare empirical with simulated results. Our results showed that an average simulation model can mimic general project growth trends like the number of commits and files well and thus, can help project managers in, e.g., controlling the onboarding of developers. Besides, the simulated co-change evolution could be improved significantly using project-specific data.

scholarly journals Application of Agent-based Modeling for Cultural Information-based Decisions Making

2020 ◽  
Vol 88 ◽  
pp. 8-28
Author(s):  
Rimvydas Laužikas ◽  
Darius Plikynas ◽  
Vytautas Dulskis ◽  
Leonidas Sakalauskas ◽  
Arūnas Miliauskas
Keyword(s):  
Social Capital ◽  
Simulation Model ◽  
Cultural Participation ◽  
Agent Based Simulation ◽  
Research Issues ◽  
Agent Based ◽  
Cultural Events ◽  
The Social ◽  
Cultural Processes ◽  
The Impact

The impact of cultural processes on personal and social changes is one of the important research issues not only in contemporary social sciences but also for simulation of future development scenarios and evidence-based policy decision making. In the context of the theoretical concept of cultural values, based on the system theory and theory of social capital, the impact of cultural events could be analyzed and simulated by focussing on the construction/deconstruction of social capital, which takes place throughout the actor’s cultural participation. The main goal of this research is the development of measuring metrics, and agent-based simulation model aimed at investigation of the social impact of cultural processes.  This paper provides new insights of modeling the social capital changes in a society and its groups, depending on cultural participation. The proposed measurement metrics provide the measurement facility of three key components: actors, cultural events and events flow and social capital. It provides the initial proof of concept simulation results, - simplified agent-based simulation model showcase. The NetLogo MAS platform is used as a simulation environment.  

Agent Based Model to Analyze Consumer Behavior in Consuming the Electricity Energy

2015 ◽  
Vol 72 (4) ◽  
Author(s):  
Erma Suryani ◽  
Rully Agus Hendrawan ◽  
Umi Salama ◽  
Lily Puspa Dewi
Keyword(s):  
Consumer Behavior ◽  
Simulation Model ◽  
Environmental Awareness ◽  
Electricity Consumption ◽  
Point Of View ◽  
Agent Based Model ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Save Energy ◽  
The Impact

Several studies have been conducted regarding save energy in consuming the electricity through the simple changes in routines and habits. In the case of electricity consumption, consumer behavior might influenced by several factors such as consumer profession, season, and environmental awareness. In this paper, we developed an Agent Based Model (ABM) to analyze the behavior of different agents in consuming the electricity energy for each type of profession (agent) as well as their interaction with the environment. This paper demonstrates a prototype agent based simulation model to estimate the electricity consumption based on the existing condition and some scenarios to reduce the electricity consumption from consumer point of view. From the scenario results, we analyzed the impact of the save energy to increase the electrification ratio. 

scholarly journals Developing an agent-based simulation model of software evolution

2018 ◽  
Vol 96 ◽  
pp. 126-140 ◽  
Author(s):  
Shallaw Mohammed Ali ◽  
Martina Doolan ◽  
Paul Wernick ◽  
Ed Wakelam
Keyword(s):  
Simulation Model ◽  
Software Evolution ◽  
Agent Based Simulation ◽  
Agent Based

scholarly journals Axiomatisation and Simulation

Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 53 ◽  
Author(s):  
Klaus Troitzsch
Keyword(s):  
Simulation Model ◽  
Simulation Models ◽  
Formal Definition ◽  
Agent Based Simulation ◽  
Historical Process ◽  
Agent Based ◽  
History Of ◽  
Structuralist Reconstruction ◽  
Definition Of ◽  
Verbal Theory

The paper discusses the relation between the “non-statement view” of the structuralist program in philosophy of science and agent-based simulation and the use of this relation for a deeper understanding of the verification and the validation of simulation models. To this end it uses the history of the gender desegregation process in German schools in the second half of the 20th century and two simulation models trying to explain and understand this historical process. The relation between the two simulation models on one hand and the structuralist reconstruction of the mental and verbal theory of the observed phenomenon is depicted step by step, showing the verification of the more recent simulation model along the lines of the formal definition of this theory. Finally, the simulation model is used to make two unobservable parameters measurable with the help of the formalised theory, which allows new insights into the historical process.

Agent-based simulation of a fire department’s response to emergency incidents: an updated model

2019 ◽  
Author(s):  
Adriano O. Solis ◽  
Jenaro Nosedal-Sánchez ◽  
Ali Asgary ◽  
Francesco Longo ◽  
Deryn Rizzi ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Simulation Model ◽  
Simulation Models ◽  
Modelling And Simulation ◽  
Fire Departments ◽  
Agent Based Simulation ◽  
Simulation Experiments ◽  
Agent Based ◽  
Rescue Service ◽  
Current Report

A modelling and simulation (M&S) approach was earlier developed, following statistical analysis of the emergency incident database of the Vaughan Fire & Rescue Service covering eight years of consecutive incident records from January 2009 to December 2016. The M&S framework, which could potentially be replicated for fire departments across Canada, involved two different simulation models running on separate platforms: (i) an Incident Generation Engine, which simulates the ‘arrival’ of emergency incidents, and (ii) a Response Simulation Model. The current report covers only an update of the Response Simulation Model, an agent-based model developed using AnyLogic. Two issues associated with the earlier Response Simulation Model have specifically been addressed and resolved by the updated model. We report on findings from our simulation experiments based on the updated model.

scholarly journals An agent-based simulation model for analyzing the impact of teacher behavior in case of evacuation from daycare classrooms

2018 ◽  
Author(s):  
Raimundo J. C. Ferro Junior ◽  
Thayanne F. Da Silva ◽  
João P. B. Andrade ◽  
Gustavo A. L. De Campos
Keyword(s):  
Simulation Model ◽  
Classroom Environment ◽  
Student Behavior ◽  
Simulation Models ◽  
Teacher Behavior ◽  
Behavioral Characteristics ◽  
Agent Based ◽  
Evacuation Plans ◽  
Using Data ◽  
The Impact

Agent-based simulations can be used to study and formulate evacuation plans, however the traditional simulation models for this context are not suitable for daycare and school settings where the population of these settings has unique physical and behavioral characteristics. This paper proposes a simulation model based on classroom evacuation agents from daycare centers that takes into account the physical and behavioral characteristics of the students and that is able to provide data to evaluate the impact of teachers’ behavior in the evacuation process. The model was built using the Netlogo tool, using as basis the structures of the Brazilian classroom environment and using data from the literature on human behavior. The tests were performed in different settings of parameters for environment, population, student behavior and evacuation strategies. The experiments showed that the model was able to reproduce results consistent with the expected values and scenarios described in the literature, as well as being an effective tool to evaluate the impact of teacher behavior in the evacuation process, especially in rooms where students have a high degree of dependency.

scholarly journals 2418. Determining the Impact of Visitor Contact Precautions on Hospital-Onset Clostridioides difficile Infection Rates: An Agent-Based Simulation Modeling Approach

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S835-S835
Author(s):  
Oguzhan Alagoz ◽  
Elizabeth Scaria ◽  
Anna K Barker ◽  
Nasia Safdar
Keyword(s):  
Hand Hygiene ◽  
Simulation Model ◽  
Healthcare Worker ◽  
Healthcare Workers ◽  
Agent Based Simulation ◽  
Environmental Cleaning ◽  
Agent Based ◽  
Contact Precautions ◽  
Clostridioides Difficile ◽  
The Impact

Abstract Background Visitor contact precautions (VCP) have been suggested to reduce the transmission of Clostridiodes difficile at healthcare institutions. However, there are no data describing the impact of VCP on hospital-acquired C. difficile infection (HO-CDI) rates. Enforcing VCP for CDI control is also controversial, as VCP are poorly implemented and highly variable. Methods We developed an agent-based simulation model of C. difficile transmission at a model 200-bed acute-care adult hospital. Our agent-based simulation model represented interactions among the physicians, nurses, patients, visitors, and physical environment. We used the agent-based simulation model to evaluate the impact of VCP on reducing HO-CDI considering many different hospital settings and various assumptions on patient susceptibility, adherence rates to other infection control practices, interactions between healthcare workers and patients. Results VCP did not reduce the CDC-defined HO-CDI rates by more than 1% in any of the tested scenarios and hospital settings. Increasing the adherence of hand hygiene of healthcare workers to 56% from a baseline estimate of 55%, or compliance to room cleaning to 50% from a baseline estimate of 47% have led to higher rates of reduction in CDI compared with VCP. Conclusion This is the first mathematical model to quantify the reduction in HO-CDI with VCP. The agent-based simulation model suggests that the impact of VCP on hospital-onset CDI is minimal and hospitals can achieve a higher rate of reduction for HO-CDI by implementing other interventions such as healthcare worker hand hygiene, environmental cleaning and healthcare worker contact precautions. Further studies are needed to evaluate the impact of VCP on C. difficile colonization in community. Disclosures All authors: No reported disclosures.

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