scholarly journals Adaptation of Orthogonal Defect Classification for Mobile Applications

10.29007/wtwg ◽  
2019 ◽  
Author(s):  
Osama Barack ◽  
Liguo Huang

As mobile applications have become popular among end-users, developers have intro- duced a wide range of features that increase the complexity of application code. Orthogonal Defect Classification (ODC) is a model that enables developers to classify defects and track the process of inspection and testing. However, ODC was introduced to classify defects of traditional software. Mobile applications differ from traditional applications in many ways; they are susceptible to external factors, such as screen and network changes, notifi- cations, and phone interruptions, which affect the applications’ functioning. Therefore, in this paper, the ODC model will be adapted to accommodate defects of mobile applications. This allows us to address newly introduced application defects found in the mobile domain, such as energy, notification, and Graphical User Interface (GUI). In addition, based on the new model, we classify found defects of two well-known mobile applications. Moreover, we discuss one-way and two-way analyses. This work provides developers with a suitable defect analysis technique for mobile applications.

2015 ◽  
Author(s):  
Stephen M. Hollister

A new model for ship design calculations is presented that separates the graphical user interface (GUI) from the calculations (CALC). Design programs can now be defined as more than one interactive graphical user interface tied to one calculation. Several different GUIs can be created for one CALC engine and one GUI can be created to launch several CALC engines in sequence. The GUI of choice is a spreadsheet due to its availability, programmable customization, powerful analysis tools, cross-platform capability, and open code environment.


2012 ◽  
Vol 457-458 ◽  
pp. 488-494
Author(s):  
Qian Ran Si ◽  
Guo Ying Yan ◽  
Hui Ying Zhang

In this paper we discuss the fundamental principle of defect analysis, introduce the basic framework of Orthogonal Defect Classification(ODC), and summarize the principle and features of defect analysis based on ODC. Using software defect metric, defect baseline and inference rules to do software process analysis, we propose a novel defect analysis model based on ODC. Combined with practical projects, the principle of this model is discussed in details, and this model can improve the objectivity and effectiveness of defect analysis, which is favorable for the automated defect analysis.


Author(s):  
Dong-Sheng Jeng ◽  
Yan Lu

Wave-induced seabed instability around marine facilities has been recognized as a key issue in the design of marine facilities. Most previous studies have been focused on individual issues in the area, without a global consideration. This limits the research outcomes to pure academic research, and practical engineers are rarely to use it in the real design, as it is too complicated. In this study, first we establish a new model for random wave-induced residual pore pressure in marine sediments. Second, we integrate the new model with previous work, including analytical and numerical models, into a simple package (PORO-WSSI). In the model, a GUI (Graphical User Interface) will be included. The main feature of the PORO-WSSI will be outlined and numerical results will be presented and discussed.


2021 ◽  
Vol 4 ◽  
Author(s):  
Till-Hendrik Macher ◽  
Arne Beermann ◽  
Florian Leese

DNA-based identification methods, such as DNA metabarcoding, are increasingly used as biodiversity assessment tools in research and environmental management. Although powerful analysis software exists to process raw data, the translation of sequence read data into biological information and downstream analyses may be difficult for end users with limited expertise in bioinformatics. Thus, the need for easy-to-use, graphical user interface (GUI) software to analyze and visualize DNA metabarcoding data is growing. Here we present TaxonTableTools (TTT), a new platform-independent GUI that aims to fill this gap by providing simple, reproducible analysis and visualization workflows. The input format of TTT is a so-called "TaXon table". This data format can easily be generated within TTT from two common file formats that can be obtained using various published DNA metabarcoding pipelines: a read table and a taxonomy table. TTT offers a wide range of processing, filtering and analysis modules. The user can analyze and visualize basic statistics, such as read proportion per taxon, as well as more sophisticated visualizations such as interactive Krona charts for taxonomic data exploration, or complex parallel category diagrams to assess species distribution patterns. Venn diagrams can be calculated to compare taxon overlap among replicates, samples, or analysis methods. Various ecological analyses can be produced directly, including alpha or beta diversity estimates, rarefaction analyses, and principal coordinate or non-metric multidimensional scaling plots. The taxonomy of a data set can be validated via the Global Biodiversity Information Facility (GBIF) API to check for synonyms and spelling mistakes. Furthermore, geographical distribution data can be automatically downloaded from GBIF. Additionally, TTT offers a conversion tool for DNA metabarcoding data into formats required for traditional, taxonomy-based analyses performed by regulatory bioassessment programs. Beyond that, TTT is able to produce fully interactive html-based graphics that can be analyzed in any web browser. The software comes with a manual and tutorial, is free and publicly available through GitHub (https://github.com/TillMacher/TaxonTableTools) or the Python package index (https://pypi.org/project/taxontabletools/).


2014 ◽  
Author(s):  
Shinya Oki ◽  
Kazumitsu Maehara ◽  
Yasuyuki Ohkawa ◽  
Chikara Meno

Raw high-throughput sequence data are deposited in public databases as SRAs (Sequence Read Archives) and are publically available to every researcher. However, in order to graphically visualize the sequence data of interest, the corresponding SRAs must be downloaded and converted into BigWig format through complicated command-line processing. This task requires users to possess skill with script languages and sequence data processing, a requirement that prevents a wide range of biologists from exploiting SRAs. To address these challenges, we developed SraTailor, a GUI (Graphical User Interface) software package that automatically converts an SRA into a BigWig-formatted file. Simplicity of use is one of the most notable features of SraTailor: entering an accession number of an SRA and clicking the mouse are the only steps required in order to obtain BigWig-formatted files and to graphically visualize the extents of reads at given loci. SraTailor is also able to make peak calls and files of other formats, and the software also accepts various command-line-like options. Therefore, this software makes SRAs fully exploitable by a wide range of biologists. SraTailor is freely available at http://www.dev.med.kyushu-u.ac.jp/sra_tailor/.


1998 ◽  
Vol 54 (6) ◽  
pp. 1071-1077 ◽  
Author(s):  
Stephen Gardner ◽  
Janet Thornton

The validation, enrichment and organization of the data stored in PDB files is essential for those data to be used accurately and efficiently for modelling, experimental design and the determination of molecular interactions. TheIditisprotein structure database has been designed to allow the widest possible range of queries to be performed across all available protein structures. TheIditisdatabase is the most comprehensive protein structure resource currently available, and contains over 500 fields of information describing all publicly deposited protein structures. A custom-written database engine and graphical user interface provide a natural and simple environment for the construction of searches for complex sequence- and structure-based motifs. Extensions and specialized interfaces allow the data generated by the database to used in conjunction with a wide range of applications.


2021 ◽  
Vol 4 (2) ◽  
pp. 18
Author(s):  
Muhammad Saad Amin ◽  
Syed Tahir Hussain Rizvi ◽  
Sameer Malik ◽  
Muhammad Awais Yousaf ◽  
Sadaf Mehmood

The technology of An Autonomous "follow me" platform for carrying and moving objects has gone through rapid technological advancements. Numerous follow me robots are accessible with various running advancements, yet the expense is high. These robots are not user-friendly and therefore not much successful. In this research, a fully automated, economical, fast, efficient and smart “Follow Me” robot is designed. This robot has the ability to carry luggage or move objects from one place to another place. It will help pregnant women and elder people to carry their things. An autonomous follow me robot has two working modes, the first one is the default mode and the second one is Bluetooth mode or remote mode. In default mode, the user will walk in the front of the ultrasonic sensor and it will follow the user until it goes beyond the range. In Bluetooth mode, the customer needs to interact with the robot with the help of a mobile application. The customer by then has the Graphical User Interface (GUI) to control the robot. This framework enables the client to vigorously communicate with the robot at various dimensions of the control (left, right, forward, backward, and stop). The application interface is built as simple as it can be used by a wide range of patients.


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