scholarly journals Fuzzy Based Stable Maintainability Metric for Software Projects

2021 ◽  
Vol 12 (2) ◽  
pp. 500-509
Author(s):  
Surender Singh, Et. al.
Keyword(s):  
Development Process ◽  
Model Performance ◽  
Fuzzy Model ◽  
Training Data ◽  
Data Sets ◽  
Software Development Process ◽  
Objective Functions ◽  
Early Measurement ◽  
Software Projects ◽  
Fuzzy Parameters

To make software better in view of its maintainability, its software development process must be controlled and continuously observed. Researchers and software managers have stressed on the early measurement of maintainability starting from design phase itself so that timely steps could be taken for producing maintainable software. This paper evaluates and compares several methodologies for improving the numerical stability of a fuzzy-logic-based maintainability metrics system. Fuzzy parameters are adjusted using heuristic methods.  A number of alternates were considered, in which training data sets were generated using different methods and these sets were used to evaluate objective functions in GA and accordingly fuzzy parameters were tuned. After conditioning, real projects’ maintainability data is used to show that fuzzy model performance is increased, however marginally, after conditioning

Practical Experience in Customization for a Software Development Process for Small Companies Based on RUP Process and MSF

2011 ◽  
pp. 71-93 ◽  
Author(s):  
Valerio Fernandes del Maschi ◽  
Luciano S. Souza ◽  
Mauro de Mesquita Spínola ◽  
Wilson Vendramel ◽  
Ivanir Costa ◽  
...  
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Development Process ◽  
Practical Experience ◽  
Software Development Process ◽  
Small Companies ◽  
Engineering Process ◽  
Software Projects ◽  
Software Engineering Process ◽  
Unified Process

The quality in software projects is related the deliveries that are adjusted to the use, and that they take care of to the objectives. In this way, Brazilian organizations of software development, especially the small and medium ones, need to demonstrate to future customers whom an initial understand of the business problem has enough. This chapter has as objective to demonstrate methodology, strategy, main phases and procedures adopted beyond the gotten ones of a small organization of development of software in the implantation of a Customized Software Engineering Process and of a Tool of Support to the Process in the period of 2004 to 2006 on the basis of rational unified process (RUP) and in the Microsoft solutions framework (MSF).

scholarly journals Software development: do good manners matter?

2015 ◽  
Author(s):  
Giuseppe Destefanis ◽  
Marco Ortu ◽  
Steve Counsell ◽  
Michele Marchesi ◽  
Roberto Tonelli
Keyword(s):  
Software Development ◽  
Open Source Software ◽  
Development Process ◽  
Communication Process ◽  
Software Project ◽  
Software Development Process ◽  
Key Factors ◽  
Software Projects ◽  
Complex Process ◽  
Time Required

A successful software project is the result of a complex process involving, above all, people. Developers are the key factors for the success of a software development process, not merely as executors of tasks, but as protagonists and core of the whole development process. This paper investigates social aspects among developers working on software projects developed with the support of Agile tools. We studied 22 open source software projects developed using the Agile board of the JIRA repository. All comments committed by developers involved in the projects were analyzed and we explored whether the politeness of comments affected the number of developers involved and the time required to fix any given issue. Our results showed that the level of politeness in the communication process among developers does have an effect on the time required to fix issues and, in the majority of the analysed projects, it had a positive correlation with attractiveness of the project to both active and potential developers. The more polite developers were, the less time it took to fix an issue. In the majority of the analysed cases, the more developers wanted to be part of a project, the more they were willing to continue working on the project over time.

scholarly journals Software development: do good manners matter?

2015 ◽  
Author(s):  
Giuseppe Destefanis ◽  
Marco Ortu ◽  
Steve Counsell ◽  
Michele Marchesi ◽  
Roberto Tonelli
Keyword(s):  
Software Development ◽  
Open Source Software ◽  
Development Process ◽  
Communication Process ◽  
Software Project ◽  
Software Development Process ◽  
Key Factors ◽  
Software Projects ◽  
Complex Process ◽  
Time Required

A successful software project is the result of a complex process involving, above all, people. Developers are the key factors for the success of a software development process, not merely as executors of tasks, but as protagonists and core of the whole development process. This paper investigates social aspects among developers working on software projects developed with the support of Agile tools. We studied 22 open source software projects developed using the Agile board of the JIRA repository. All comments committed by developers involved in the projects were analyzed and we explored whether the politeness of comments affected the number of developers involved and the time required to fix any given issue. Our results showed that the level of politeness in the communication process among developers does have an effect on the time required to fix issues and, in the majority of the analysed projects, it had a positive correlation with attractiveness of the project to both active and potential developers. The more polite developers were, the less time it took to fix an issue. In the majority of the analysed cases, the more developers wanted to be part of a project, the more they were willing to continue working on the project over time.

scholarly journals Development of an ANN-Based Urban Flood Alert Criteria Prediction Model and the Impact of Training Data Augmentation

2021 ◽  
Vol 21 (6) ◽  
pp. 257-264
Author(s):  
Hoseon Kang ◽  
Jaewoong Cho ◽  
Hanseung Lee ◽  
Jeonggeun Hwang ◽  
Hyejin Moon
Keyword(s):  
Artificial Intelligence ◽  
Data Augmentation ◽  
Model Performance ◽  
Fuzzy Model ◽  
Flood Damage ◽  
Training Data ◽  
Ann Model ◽  
Urban Flood ◽  
Flood Alert ◽  
The Impact

Urban flooding occurs during heavy rains of short duration, so quick and accurate warnings of the danger of inundation are required. Previous research proposed methods to estimate statistics-based urban flood alert criteria based on flood damage records and rainfall data, and developed a Neuro-Fuzzy model for predicting appropriate flood alert criteria. A variety of artificial intelligence algorithms have been applied to the prediction of the urban flood alert criteria, and their usage and predictive precision have been enhanced with the recent development of artificial intelligence. Therefore, this study predicted flood alert criteria and analyzed the effect of applying the technique to augmentation training data using the Artificial Neural Network (ANN) algorithm. The predictive performance of the ANN model was RMSE 3.39-9.80 mm, and the model performance with the extension of training data was RMSE 1.08-6.88 mm, indicating that performance was improved by 29.8-82.6%.

scholarly journals An interpretable mortality prediction model for COVID-19 patients – alternative approach

2020 ◽  
Author(s):  
Peter Gemmar
Keyword(s):  
Prediction Model ◽  
Test Data ◽  
Fuzzy Model ◽  
Healthcare Services ◽  
Mortality Prediction ◽  
Training Data ◽  
Disease Assessment ◽  
Data Sets ◽  
Fuzzy Classifier ◽  
Binary Decision Tree

AbstractThe pandemic spread of coronavirus leads to increased burden on healthcare services worldwide. Experience shows that required medical treatment can reach limits at local clinics and fast and secure clinical assessment of the disease severity becomes vital. In [1] a model is presented for predicting the mortality of COVID-19 patients from their biomarkers. Three biomarkers have been selected by ranking with a supervised Multi-tree XGBoost classifier. The prediction model is built up as a binary decision tree with depth three and achieves AUC scores of up to 97.84±0.37 and 95.06± 2.21 for training and external test data sets, resp.In human assessment and decision making influencing parameters usually aren’t considered as sharp numbers but rather as Fuzzy terms [2], and inferencing primarily yields Fuzzy terms or continuous grades rather than binary decisions. Therefore, I examined a Sugenotype Fuzzy classifier [3] for disease assessment and decision support. In addition, I used an artificial neural network (SOM, [4]) for selecting the biomarkers. Modelling and validation was done with the identical data base provided by [1]. With the complete training and test data sets, the Fuzzy prediction model achieves improved AUC scores of up to 98.59 or 95.12 The improvements with the Fuzzy classifier obviously become clear as physicians can interpret output grades to belong to positive or negative class more or less strongly. An extension of the Fuzzy model, which takes into account the trend in key features over time, provides excellent results with the training data, which, however, could not be finally verified due to the lack of suitable test data. The generation and training of the Fuzzy models was fully automatic and without additional adjustment with the help of ANFIS from Matlab©.

scholarly journals PREDICTING TELECOMMUNICATION TOWER COSTS USING FUZZY SUBTRACTIVE CLUSTERING

2014 ◽  
Vol 21 (1) ◽  
pp. 67-74 ◽  
Author(s):  
Mohamed Marzouk ◽  
Mohamed Alaraby
Keyword(s):  
Model Performance ◽  
Training Data ◽  
Percentage Error ◽  
Subtractive Clustering ◽  
Data Sets ◽  
Test Model ◽  
First Order ◽  
Testing Data ◽  
Telecommunication Towers ◽  
Tower Height

This paper presents a fuzzy subtractive modelling technique to predict the weight of telecommunication towers which is used to estimate their respective costs. This is implemented through the utilization of data from previously installed telecommunication towers considering four input parameters: a) tower height; b) allowed tilt or deflection; c) antenna subjected area loading; and d) wind load. Telecommunication towers are classified according to designated code (TIA-222-F and TIA-222-G standards) and structures type (Self-Supporting Tower (SST) and Roof Top (RT)). As such, four fuzzy subtractive models are developed to represent the four classes. To build the fuzzy models, 90% of data are utilized and fed to Matlab software as training data. The remaining 10% of the data are utilized to test model performance. Sugeno-Type first order is used to optimize model performance in predicting tower weights. Errors are estimated using Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) for both training and testing data sets. Sensitivity analysis is carried to validate the model and observe the effect of clusters’ radius on models performance.

Study on Effective Classifier for Software Engineering Data Sets

2013 ◽  
Vol 671-674 ◽  
pp. 3208-3211
Author(s):  
Yong Hong Gao
Keyword(s):  
Software Engineering ◽  
Development Process ◽  
Positive Impact ◽  
Data Sets ◽  
Software Development Process ◽  
Engineering Data ◽  
Wide Range ◽  
Engineering Problems ◽  
Attribute Space ◽  
Class Variable

A wide range of important software engineering problems need solutions that involve accurately predicting outcomes, such as the number of defects in a module, the estimated cost, or deciding the best software development process to use. Mathematically a classifier is a function that maps an N-dimensional attribute space to a discrete set of labels of the class variable. We proposed an effective classifier for software engineering data sets, the results show that the accurate predictions can have an enormous positive impact on reducing these problems and ensure projects’ successes.

scholarly journals Software development: do good manners matter?

2016 ◽  
Vol 2 ◽  
pp. e73 ◽  
Author(s):  
Giuseppe Destefanis ◽  
Marco Ortu ◽  
Steve Counsell ◽  
Stephen Swift ◽  
Michele Marchesi ◽  
...  
Keyword(s):  
Software Development ◽  
Open Source Software ◽  
Development Process ◽  
Communication Process ◽  
Software Project ◽  
Software Development Process ◽  
Key Factors ◽  
Software Projects ◽  
Complex Process ◽  
Time Required

A successful software project is the result of a complex process involving, above all, people. Developers are the key factors for the success of a software development process, not merely as executors of tasks, but as protagonists and core of the whole development process. This paper investigates social aspects among developers working on software projects developed with the support of Agile tools. We studied 22 open-source software projects developed using the Agile board of the JIRA repository. All comments committed by developers involved in the projects were analyzed and we explored whether the politeness of comments affected the number of developers involved and the time required to fix any given issue. Our results showed that the level of politeness in the communication process among developers does have an effect on the time required to fix issues and, in the majority of the analysed projects, it had a positive correlation with attractiveness of the project to both active and potential developers. The more polite developers were, the less time it took to fix an issue.

scholarly journals An introduction to distributed training of deep neural networks for segmentation tasks with large seismic data sets

Geophysics ◽  
2021 ◽  
Vol 86 (6) ◽  
pp. KS151-KS160
Author(s):  
Claire Birnie ◽  
Haithem Jarraya ◽  
Fredrik Hansteen
Keyword(s):  
Neural Networks ◽  
Input Data ◽  
Model Performance ◽  
Microseismic Monitoring ◽  
Training Data ◽  
Data Sets ◽  
Distributed Training ◽  
Spatiotemporal Information ◽  
Training Approach ◽  
Data Generator

Deep learning applications are drastically progressing in seismic processing and interpretation tasks. However, most approaches subsample data volumes and restrict model sizes to minimize computational requirements. Subsampling the data risks losing vital spatiotemporal information which could aid training, whereas restricting model sizes can impact model performance, or in some extreme cases renders more complicated tasks such as segmentation impossible. We have determined how to tackle the two main issues of training of large neural networks (NNs): memory limitations and impracticably large training times. Typically, training data are preloaded into memory prior to training, a particular challenge for seismic applications in which the data format is typically four times larger than that used for standard image processing tasks (float32 versus uint8). Based on an example from microseismic monitoring, we evaluate how more than 750 GB of data can be used to train a model by using a data generator approach, which only stores in memory the data required for that training batch. Furthermore, efficient training over large models is illustrated through the training of a seven-layer U-Net with input data dimensions of [Formula: see text] (approximately [Formula: see text] million parameters). Through a batch-splitting distributed training approach, the training times are reduced by a factor of four. The combination of data generators and distributed training removes any necessity of data subsampling or restriction of NN sizes, offering the opportunity to use larger networks, higher resolution input data, or move from 2D to 3D problem spaces.

scholarly journals The importance of human-computer interaction in the development process of software projects

2015 ◽  
pp. 48 ◽  
Author(s):  
M. Hanefi Calp ◽  
M. Ali Akcayol
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Human Computer Interaction ◽  
Development Process ◽  
Design Methods ◽  
Software Development Process ◽  
Software Life Cycle ◽  
Software Projects ◽  
User Friendly ◽  
Computer Interaction

<p>Today, software industry has a rapid growth. In order to resist the competition increased by this growth, software projects ne0ed to be developed with higher quality and especially user friendly. Therefore, the importance of human-computer interaction emerges clearly. In design and development phases of software projects, the properties of human –which is an important agent for interaction- such as behavioral, cognitive, perceptive, efficiency and physical factors have to be considered. This study aims to express the importance of developing softwares by taking into consideration the human-computer interaction applications. In this context, firstly a wide literature review is made to examine software development process and human-computer interaction in detail, the results obtained by using design methods in this process are explicated and the importance of said interaction is openly expressed with the exemplary applications in the literature. According to the results of the research, especially in software life cycle, it is observed that rules of interaction must be implemented before software development, however, these methods are usually included in software life cycle in the latter stages of software development process. This situation causes the developed softwares to be user unfriendly and of low quality. Furthermore, it is observed that when the design methods used in the scope of human-computer interaction are integrated into software development process during the life cycle, the developed projects are more successful, have better quality and are more user friendly.</p><p> Keywords: Human-computer interaction, software projects, life cycle, software design.</p>

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