scholarly journals First analysis of software metrics

2015 ◽  
Author(s):  
Martin Fenner
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Metrics ◽  
Software Repositories ◽  
First Results

Last week I wrote about software.lagotto.io, an instance of the lagotto open source software collecting metrics for the about 1,400 software repositories included in Sciencetoolbox. In this post I want to report the first results analyzing the data.Number of software repositories (out of 1,404) ...

scholarly journals An open-source based toolchain for the georeferencing of old cadastral maps

2016 ◽  
Author(s):  
Jean-Michel Follin ◽  
Maïté Fahrasmane ◽  
Élisabeth Simonetto
Keyword(s):  
Land Cover ◽  
Open Source ◽  
Programming Language ◽  
Open Source Software ◽  
Human Activities ◽  
Historical Data ◽  
Cadastral Maps ◽  
First Results ◽  
The Web

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.

scholarly journals An open-source based toolchain for the georeferencing of old cadastral maps

2016 ◽  
Author(s):  
Jean-Michel Follin ◽  
Maïté Fahrasmane ◽  
Élisabeth Simonetto
Keyword(s):  
Land Cover ◽  
Open Source ◽  
Programming Language ◽  
Open Source Software ◽  
Human Activities ◽  
Historical Data ◽  
Cadastral Maps ◽  
First Results ◽  
The Web

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.

scholarly journals An open-source based toolchain for the georeferencing of old cadastral maps

2016 ◽  
Author(s):  
Jean-Michel Follin ◽  
Maïté Fahrasmane ◽  
Élisabeth Simonetto
Keyword(s):  
Land Cover ◽  
Open Source ◽  
Programming Language ◽  
Open Source Software ◽  
Human Activities ◽  
Historical Data ◽  
Cadastral Maps ◽  
First Results ◽  
The Web

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.

scholarly journals Mining Software Repositories for Software Metrics (MSR-SM): Conceptual Framework

2019 ◽  
Vol 8 (10) ◽  
pp. 4173-4177
Keyword(s):  
Open Source Software ◽  
Software Metrics ◽  
Source Code ◽  
Mining Software Repositories ◽  
Quality Attribute ◽  
Source Codes ◽  
Software Repositories ◽  
Complexity Metrics ◽  
Code Structure ◽  
Physical Attributes

A number of software metrics estimate the complexity of software program by a couple of substantial software attributes and trends. Metric for measuring the reliability is extraordinary among the presently available complexity metrics by contemplating a non-physical attributes i.e. readability. Readability may be a key quality attribute for managing software source codes. Readability of the source code is mainly concerned with code maintainability which is a significant characteristic of software quality, mainly from the developers’ perspective. As the code is readable, the easier it is to modify, lesser errors, copious maintainable, easy to reuse and even more reliable. Readability is employed to enhance source codes for subsequent maintenance and extensibility. But code readability is not simply computable while dealing with open source software as contributors access the code and modify its structure according to his/her style of coding. This nature of development begins problems for the new contributors to understand the code structure. To enhance code readability, In this paper, we proposed a conceptual model of mining software repositories for software metrics in which we proposed a set of metrics for readability of the code that is easier to use and helpful to understand the code structure. We also mention a mechanism to validate the proposed metrics by the data extracted from the mining software repositories and comparing it with a survey conducting from experts working in industries

scholarly journals Similar Characteristics of Internal Software Quality Attributes for Object-Oriented Open-Source Software Projects

2014 ◽  
Author(s):  
Mariana Santos ◽  
Rodrigo Amador ◽  
Paulo Henrique De Souza Bermejo ◽  
Heitor Costa
Keyword(s):  
Cluster Analysis ◽  
Open Source ◽  
Software Quality ◽  
Open Source Software ◽  
Software Metrics ◽  
Object Oriented ◽  
Quality Attributes ◽  
Internal Quality ◽  
Software Systems ◽  
Systems Quality

Organizations are becoming increasingly concerned about software quality. In object-oriented (OO) systems, quality is characterized by measurements of internal quality attributes. An efficient and proper method to analyze software quality in the absence of fault-prone or defective data labels is cluster analysis. The aim of this paper is to find similarities among project structures by measuring characteristics of internal software quality. In a sample of 150 open-source software systems, we evaluated software using macro and micro categories. Results obtained using cluster analysis indicated that some domains such as Graphics, Games, and Development tend to have similarities in specialization, abstraction, stability, and complexity. These results exploit the ability of OO software metrics to find similar behavior across domains. The results provide an immediate view of the trends and characteristics of internal software quality of Java systems that need to be addressed so that software systems can continue to be maintainable.

scholarly journals UPGRADE OF FOSS DATE PLUG-IN: IMPLEMENTATION OF A NEW RADARGRAMMETRIC DSM GENERATION CAPABILITY

2016 ◽  
Vol XLI-B7 ◽  
pp. 821-825 ◽  
Author(s):  
M. Di Rita ◽  
A. Nascetti ◽  
F. Fratarcangeli ◽  
M. Crespi
Keyword(s):  
High Resolution ◽  
Open Source ◽  
Open Source Software ◽  
Weather Conditions ◽  
Ground Sample ◽  
Satellite Systems ◽  
Stereo Reconstruction ◽  
First Results ◽  
Sar Imagery ◽  
University Of Rome

Synthetic Aperture Radar (SAR) satellite systems may give important contribution in terms of Digital Surface Models (DSMs) generation considering their complete independence from logistic constraints on the ground and weather conditions. In recent years, the new availability of very high resolution SAR data (up to 20 cm Ground Sample Distance) gave a new impulse to radargrammetry and allowed new applications and developments. Besides, to date, among the software aimed to radargrammetric applications only few show as free and open source. It is in this context that it has been decided to widen DATE (Digital Automatic Terrain Extractor) plug-in capabilities and additionally include the possibility to use SAR imagery for DSM stereo reconstruction (i.e. radargrammetry), besides to the optical workflow already developed. <br><br> DATE is a Free and Open Source Software (FOSS) developed at the Geodesy and Geomatics Division, University of Rome “La Sapienza”, and conceived as an OSSIM (Open Source Software Image Map) plug-in. It has been developed starting from May 2014 in the framework of 2014 Google Summer of Code, having as early purpose a fully automatic DSMs generation from high resolution optical satellite imagery acquired by the most common sensors. <br><br> Here, the results achieved through this new capability applied to two stacks (one ascending and one descending) of three TerraSAR-X images each, acquired over Trento (Northern Italy) testfield, are presented. Global accuracies achieved are around 6 metres. These first results are promising and further analysis are expected for a more complete assessment of DATE application to SAR imagery.

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