Performance Evaluation Approaches for Software Architects

2005 ◽  
pp. 275-295 ◽  
Author(s):  
Anu Purhonen
Keyword(s):  
Performance Evaluation ◽  
Evaluation Approaches

The Complex Issue of Measuring KM Performance

2011 ◽  
pp. 208-230 ◽  
Author(s):  
Enrico Scarso ◽  
Ettore Bolisani ◽  
Antonella Padova
Keyword(s):  
Knowledge Management ◽  
Performance Evaluation ◽  
Performance Measurement ◽  
Practical Experience ◽  
Complex Issue ◽  
Daily Experience ◽  
Business Context ◽  
Evaluation Approaches ◽  
The Impact ◽  
Puzzling Problem

Most companies that are deeply investing in Knowledge Management (KM) initiatives encounter substantial difficulties in assessing the effectiveness of these programmes. Actually, measuring the impact of KM projects is still a puzzling problem both at the conceptual and operative level. However, measuring their performance is necessary for monitoring their progress and for successfully managing and allocating resources, as well as to maintain the support and commitment by the top management. Although several KM performance evaluation approaches have been proposed in literature, they are still far from becoming an established practice. The chapter aims at discussing this issue by placing it in a business context. First, the literature on KM performance evaluation is briefly reviewed, and the main methods currently used are classified. Then, the practical experience of a multinational company is discussed, with the purpose to describe the problems that practitioners face in their daily experience, and provide insights into the possible improvements of KM performance measurement.

scholarly journals A Novel Experiment-Free Site-Specific TDoA Localization Performance-Evaluation Approach

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1035
Author(s):  
Xiaokang Ye ◽  
José Rodríguez-Piñeiro ◽  
Yuan Liu ◽  
Xuefeng Yin ◽  
Antonio Pérez Yuste
Keyword(s):  
Performance Evaluation ◽  
Ground Truth ◽  
Integrated Approach ◽  
Impulse Responses ◽  
Evaluation Approach ◽  
Localization Errors ◽  
Localization Performance ◽  
Transmitted Signal ◽  
Evaluation Approaches ◽  
Localization Systems

Time difference of arrival (TDoA) technology is widely utilized for source localization, which stimulates many studies on performance-evaluation approaches for TDoA localization systems. Some approaches using simulations are designed merely for a simple Line-of-Sight (LoS) scenario while some other ones using experiments show high cost and inefficiency. This paper proposes an integrated approach to evaluate a TDoA localization system in an area with a complicated environment. Radio propagation graph is applied through a simulation to obtain channel impulse responses (CIRs) between a source to be located and the TDoA sensors for the area. Realistic signals received by the sensors in baseband are emulated combining the source transmitted signal and the CIRs. A hardware unit takes charge of sending the radio emulated received signals to the system under test, which is consistent with real experimental measurements. Statistical analysis of the system is allowed based on localization errors obtained comparing the system’s estimates with the ground truth of the source location. Verified results for LoS and non-LoS scenarios with variable transmitted signal bandwidths and signal-to-noise ratios, as well as for three variations of the sensor locations in an automobile circuit, show the usability of the proposed experiment-free performance-evaluation approach.

scholarly journals Descriptive Review of Energy Performance Evaluation Approaches

2016 ◽  
Vol 8 (4-3) ◽  
Author(s):  
Siva Jaganathan ◽  
Abdul Hakim Mohammed ◽  
Mohd Shahril Abdul Rahman
Keyword(s):  
Performance Evaluation ◽  
Fluid Dynamic ◽  
Energy Performance ◽  
Dynamic Approach ◽  
Performance Gap ◽  
Evaluation Approach ◽  
Design Life ◽  
Performances Evaluation ◽  
Future Direction ◽  
Evaluation Approaches

This study address energy performance evaluation uncertainities in design. To achieve energy efficiency in building, designer should incorporate energy performance evaluation approach to foresight energy performance failure during design. The research has  evaluated and compares the capabilities of energy performances evaluation approaches namely computational fluid dynamic approach, optimization algorithm, and coupled approach. Furthermore, descriptive review unveils the practical obstacles and challenges designers encounter during design life cycle and proposes future direction to mitigate inundated energy performance gap.

Performance Evaluation of Interactive Systems with Interactive Cooperative Objects Models

2018 ◽  
Author(s):  
Célia Martinie ◽  
Philippe Palanque ◽  
Camille Fayollas
Keyword(s):  
Performance Evaluation ◽  
Human Computer Interaction ◽  
Empirical Studies ◽  
Predictive Performance ◽  
Interactive Systems ◽  
Interactive System ◽  
Formal Models ◽  
Evaluation Approaches ◽  
User Actions

Arguments to support validity of most contributions in the field of human–computer interaction are based on detailed results of empirical studies involving cohorts of tested users confronted with a set of tasks performed on a prototype version of an interactive system. This chapter presents how the Interactive Cooperative Objects (ICO) formal models of the entire interactive system can support predictive and summative performance evaluation activities by exploiting the models. Predictive performance evaluation is supported by ICO formal models of interactive systems enriched with perceptive, cognitive, and motoric information about the users. Summative usability evaluation is addressed at the level of the software system, which is able to exhaustively log all the user actions performed on the interactive system The articulation of these two evaluation approaches is demonstrated on a case study from the avionics domain with a step-by-step tutorial on how to apply the approach.

scholarly journals Machine Learning Methods Performance Evaluation*

2021 ◽  
Vol 12 (2) ◽  
pp. 2664-2666
Author(s):  
Zakoldaev D. A., Et. al.
Keyword(s):  
Machine Learning ◽  
Air Pollution ◽  
Performance Evaluation ◽  
Learning Methods ◽  
Air Pollution Modeling ◽  
Machine Learning Methods ◽  
Pollution Modeling ◽  
Evaluation Approaches ◽  
Monitoring Area

In this paper, we describe an approach for air pollution modeling in the data incompleteness scenarios, when the sensors cover the monitoring area only partially. The fundamental calculus and metrics of using machine learning modeling algorithms are presented. Moreover, the assessing indicators and metrics for machine learning methods performance evaluation are described. Based on the conducted analysis, conclusions on the most appropriate evaluation approaches are made.

Fine Particle Mass Monitoring with Low-Cost Sensors: Corrections and Long-Term Performance Evaluation

2019 ◽  
Author(s):  
Carl Malings ◽  
Rebecca Tanzer ◽  
Aliaksei Hauryliuk ◽  
Provat K. Saha ◽  
Allen L. Robinson ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Fine Particle ◽  
Low Cost ◽  
Particle Mass ◽  
Long Term Performance ◽  
Term Performance

Performance Evaluation: Linking Sociology and Social Psychology?

1976 ◽  
Vol 21 (9) ◽  
pp. 645-646
Author(s):  
RODNEY B. PLIMPTON
Keyword(s):  
Social Psychology ◽  
Performance Evaluation
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