The Experts below are selected from a list of 288 Experts worldwide ranked by ideXlab platform

Jane Huffman Hayes - One of the best experts on this subject based on the ideXlab platform.

  • Input validation analysis and testing
    Empirical Software Engineering, 2006
    Co-Authors: Jane Huffman Hayes, Jeff Offutt
    Abstract:

    This research addresses the problem of statically analyzing input Command Syntax as defined in interface and requirements specifications and then generating test cases for dynamic input validation testing. The IVAT (Input Validation Analysis and Testing) technique has been developed, a proof-of-concept tool (MICASA) has been implemented, and a case study validation has been performed. Empirical validation on large-scale industrial software (from the Tomahawk Cruise Missile) shows that as compared with senior, experienced analysts and testers, MICASA found more syntactic requirement specification defects, generated test cases with higher syntactic coverage, and found additional defects. The experienced analysts found more semantic defects than MICASA, and the experienced testers’ cases found 7.4 defects per test case as opposed to an average of 4.6 defects found by MICASA test cases. Additionally, the MICASA tool performed at less cost.

  • Input validation analysis and testing
    Empirical Software Engineering, 2006
    Co-Authors: Jane Huffman Hayes, Jeff Offutt
    Abstract:

    This research addresses the problem of statically analyzing input Command Syntax as defined in interface and requirements specifications and then generating test cases for dynamic input validation testing. The IVAT (Input Validation Analysis and Testing) technique has been developed, a proof-of-concept tool (MICASA) has been implemented, and a case study validation has been performed. Empirical validation on large-scale industrial software (from the Tomahawk Cruise Missile) shows that as compared with senior, experienced analysts and testers, MICASA found more syntactic requirement specification defects, generated test cases with higher syntactic coverage, and found additional defects. The experienced analysts found more semantic defects than MICASA, and the experienced testers’ cases found 7.4 defects per test case as opposed to an average of 4.6 defects found by MICASA test cases. Additionally, the MICASA tool performed at less cost.

  • increased software reliability through input validation analysis and testing
    International Symposium on Software Reliability Engineering, 1999
    Co-Authors: Jane Huffman Hayes, A J Offutt
    Abstract:

    The input validation testing (IVT) technique has been developed to address the problem of statically analyzing input Command Syntax as defined in an English textual interface and requirements specifications and then generating test cases for input validation testing. The technique does not require design or code, so it can be applied early in the life cycle. A proof-of-concept tool has been implemented and validation has been performed. Empirical validation on industrial software shows that the IVT method found more requirements specification defects than senior testers, generated test cases with higher syntactic coverage than senior testers, and found defects that were not found by the test cases of senior testers. Additionally, the tool performed at a much-reduced cost.

  • ISSRE - Increased software reliability through input validation analysis and testing
    Proceedings 10th International Symposium on Software Reliability Engineering (Cat. No.PR00443), 1999
    Co-Authors: Jane Huffman Hayes, A J Offutt
    Abstract:

    The input validation testing (IVT) technique has been developed to address the problem of statically analyzing input Command Syntax as defined in an English textual interface and requirements specifications and then generating test cases for input validation testing. The technique does not require design or code, so it can be applied early in the life cycle. A proof-of-concept tool has been implemented and validation has been performed. Empirical validation on industrial software shows that the IVT method found more requirements specification defects than senior testers, generated test cases with higher syntactic coverage than senior testers, and found defects that were not found by the test cases of senior testers. Additionally, the tool performed at a much-reduced cost.

Maciej Majewski - One of the best experts on this subject based on the ideXlab platform.

  • ICNC (1) - Intelligent natural language processing
    Lecture Notes in Computer Science, 2006
    Co-Authors: Wojciech Kacalak, Keith Stuart, Maciej Majewski
    Abstract:

    In this paper, a natural language interface is presented which consists of the intelligent mechanisms of human identification, speech recognition, word and Command recognition, Command Syntax and result analysis, Command safety assessment, technological process supervision as well as human reaction assessment. In this paper, a review is carried out of selected issues with regards to recognition of speech Commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator's words and Commands using neural networks made up of a few layers of neurons. The paper presents research results of speech recognition and automatic recognition of Commands in natural language using artificial neural networks.

  • ISNN (2) - Natural language human-machine interface using artificial neural networks
    Advances in Neural Networks - ISNN 2006, 2006
    Co-Authors: Maciej Majewski, Wojciech Kacalak
    Abstract:

    In this paper there is a natural language interface presented, which consists of the intelligent mechanisms of human identification, speech recognition, word and Command recognition, Command Syntax and result analysis, Command safety assessment, technological process supervision as well as human reaction assessment. In this paper there is also a review of the selected issues on recognition of speech Commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator’s words and Commands using neural networks made of a few layers of neurons. The paper presents research results of speech recognition and automatic recognition of Commands in natural language using artificial neural networks.

  • ICONIP (1) - Intelligent system for automatic recognition and evaluation of speech Commands
    Neural Information Processing, 2006
    Co-Authors: Wojciech Kacalak, Maciej Majewski
    Abstract:

    In this paper, a natural language interface is presented which consists of the intelligent mechanisms of human identification, speech recognition, word and Command recognition, Command Syntax and result analysis, Command safety assessment, technological process supervision as well as human reaction assessment. In this paper, a review is carried out of selected issues with regards to recognition of speech Commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator's words and Commands using neural networks made up of a few layers of neurons. The paper presents research results of speech recognition and automatic recognition of Commands in natural language using artificial neural networks.

  • Intelligent System for Automatic Recognition and Evaluation of Speech Commands
    Lecture Notes in Computer Science, 2006
    Co-Authors: Wojciech Kacalak, Maciej Majewski
    Abstract:

    In this paper, a natural language interface is presented which consists of the intelligent mechanisms of human identification, speech recognition, word and Command recognition, Command Syntax and result analysis, Command safety assessment, technological process supervision as well as human reaction assessment. In this paper, a review is carried out of selected issues with regards to recognition of speech Commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator's words and Commands using neural networks made up of a few layers of neurons. The paper presents research results of speech recognition and automatic recognition of Commands in natural language using artificial neural networks.

  • ICIC (2) - Intelligent system for natural language processing
    Lecture Notes in Computer Science, 2006
    Co-Authors: Maciej Majewski, Wojciech Kacalak
    Abstract:

    Nowadays technological devices can already be provided with enough intelligence to understand and act appropriately on voice Commands. The voice communication with technological devices becomes a stronger challenge as technology becomes more advanced and complex. In this paper, a natural language interface is presented which consists of the intelligent mechanisms of human identification, speech recognition, word and Command recognition, Command Syntax and result analysis, Command safety assessment, technological process supervision as well as human reaction assessment. In this paper, a review is carried out of selected issues with regards to recognition of speech Commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator's words and Commands using neural networks made up of a few layers of neurons. The paper presents research results of speech recognition and automatic recognition of Commands in natural language using artificial neural networks.

Wojciech Kacalak - One of the best experts on this subject based on the ideXlab platform.

  • ICNC (1) - Intelligent natural language processing
    Lecture Notes in Computer Science, 2006
    Co-Authors: Wojciech Kacalak, Keith Stuart, Maciej Majewski
    Abstract:

    In this paper, a natural language interface is presented which consists of the intelligent mechanisms of human identification, speech recognition, word and Command recognition, Command Syntax and result analysis, Command safety assessment, technological process supervision as well as human reaction assessment. In this paper, a review is carried out of selected issues with regards to recognition of speech Commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator's words and Commands using neural networks made up of a few layers of neurons. The paper presents research results of speech recognition and automatic recognition of Commands in natural language using artificial neural networks.

  • ISNN (2) - Natural language human-machine interface using artificial neural networks
    Advances in Neural Networks - ISNN 2006, 2006
    Co-Authors: Maciej Majewski, Wojciech Kacalak
    Abstract:

    In this paper there is a natural language interface presented, which consists of the intelligent mechanisms of human identification, speech recognition, word and Command recognition, Command Syntax and result analysis, Command safety assessment, technological process supervision as well as human reaction assessment. In this paper there is also a review of the selected issues on recognition of speech Commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator’s words and Commands using neural networks made of a few layers of neurons. The paper presents research results of speech recognition and automatic recognition of Commands in natural language using artificial neural networks.

  • ICONIP (1) - Intelligent system for automatic recognition and evaluation of speech Commands
    Neural Information Processing, 2006
    Co-Authors: Wojciech Kacalak, Maciej Majewski
    Abstract:

    In this paper, a natural language interface is presented which consists of the intelligent mechanisms of human identification, speech recognition, word and Command recognition, Command Syntax and result analysis, Command safety assessment, technological process supervision as well as human reaction assessment. In this paper, a review is carried out of selected issues with regards to recognition of speech Commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator's words and Commands using neural networks made up of a few layers of neurons. The paper presents research results of speech recognition and automatic recognition of Commands in natural language using artificial neural networks.

  • Intelligent System for Automatic Recognition and Evaluation of Speech Commands
    Lecture Notes in Computer Science, 2006
    Co-Authors: Wojciech Kacalak, Maciej Majewski
    Abstract:

    In this paper, a natural language interface is presented which consists of the intelligent mechanisms of human identification, speech recognition, word and Command recognition, Command Syntax and result analysis, Command safety assessment, technological process supervision as well as human reaction assessment. In this paper, a review is carried out of selected issues with regards to recognition of speech Commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator's words and Commands using neural networks made up of a few layers of neurons. The paper presents research results of speech recognition and automatic recognition of Commands in natural language using artificial neural networks.

  • ICIC (2) - Intelligent system for natural language processing
    Lecture Notes in Computer Science, 2006
    Co-Authors: Maciej Majewski, Wojciech Kacalak
    Abstract:

    Nowadays technological devices can already be provided with enough intelligence to understand and act appropriately on voice Commands. The voice communication with technological devices becomes a stronger challenge as technology becomes more advanced and complex. In this paper, a natural language interface is presented which consists of the intelligent mechanisms of human identification, speech recognition, word and Command recognition, Command Syntax and result analysis, Command safety assessment, technological process supervision as well as human reaction assessment. In this paper, a review is carried out of selected issues with regards to recognition of speech Commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator's words and Commands using neural networks made up of a few layers of neurons. The paper presents research results of speech recognition and automatic recognition of Commands in natural language using artificial neural networks.

A J Offutt - One of the best experts on this subject based on the ideXlab platform.

  • increased software reliability through input validation analysis and testing
    International Symposium on Software Reliability Engineering, 1999
    Co-Authors: Jane Huffman Hayes, A J Offutt
    Abstract:

    The input validation testing (IVT) technique has been developed to address the problem of statically analyzing input Command Syntax as defined in an English textual interface and requirements specifications and then generating test cases for input validation testing. The technique does not require design or code, so it can be applied early in the life cycle. A proof-of-concept tool has been implemented and validation has been performed. Empirical validation on industrial software shows that the IVT method found more requirements specification defects than senior testers, generated test cases with higher syntactic coverage than senior testers, and found defects that were not found by the test cases of senior testers. Additionally, the tool performed at a much-reduced cost.

  • ISSRE - Increased software reliability through input validation analysis and testing
    Proceedings 10th International Symposium on Software Reliability Engineering (Cat. No.PR00443), 1999
    Co-Authors: Jane Huffman Hayes, A J Offutt
    Abstract:

    The input validation testing (IVT) technique has been developed to address the problem of statically analyzing input Command Syntax as defined in an English textual interface and requirements specifications and then generating test cases for input validation testing. The technique does not require design or code, so it can be applied early in the life cycle. A proof-of-concept tool has been implemented and validation has been performed. Empirical validation on industrial software shows that the IVT method found more requirements specification defects than senior testers, generated test cases with higher syntactic coverage than senior testers, and found defects that were not found by the test cases of senior testers. Additionally, the tool performed at a much-reduced cost.

Dingjing Shi - One of the best experts on this subject based on the ideXlab platform.

  • Longitudinal Model Building Using Latent Transition Analysis: An Example Using School Bullying Data.
    Frontiers in psychology, 2018
    Co-Authors: Ji Hoon Ryoo, Cixin Wang, Susan M. Swearer, Michael F. Hull, Dingjing Shi
    Abstract:

    Applications of latent transition analysis (LTA) have emerged since the early 1990s, with numerous scientific findings being published in many areas, including social and behavioral sciences, education, and public health. Although LTA is effective as a statistical analytic tool for a person-centered model using longitudinal data, model building in LTA has often been subjective and confusing for applied researchers. To fill this gap in the literature, we review the components of LTA, recommend a framework of fitting LTA, and summarize what acceptable model evaluation tools should be used in practice. The proposed framework of fitting LTA consists of six steps depicted in Figure 1 from step 0 (exploring data) to step 5 (fitting distal variables). We also illustrate the framework of fitting LTA with data on concerns about school bullying from a sample of 1,180 students ranging from 5th to 9th grade (mean age = 12.2 years, SD = 1.29 years at Time 1) over three semesters. We identified four groups of students with distinct patterns of bullying concerns, and found that their concerns about bullying decreased and narrowed to specific concerns about rumors, gossip, and social exclusion over time. The data and Command (Syntax) files needed for reproducing the results using SAS Proc LCA/LTA version 1.3.2 (2015) and Mplus 7.4 (Muthen & Muthen, 1998-2015) are provided as online supplementary materials.

  • Data_Sheet_1_Longitudinal Model Building Using Latent Transition Analysis: An Example Using School Bullying Data.docx
    2018
    Co-Authors: Ji Hoon Ryoo, Cixin Wang, Susan M. Swearer, Michael Hull, Dingjing Shi
    Abstract:

    Applications of latent transition analysis (LTA) have emerged since the early 1990s, with numerous scientific findings being published in many areas, including social and behavioral sciences, education, and public health. Although LTA is effective as a statistical analytic tool for a person-centered model using longitudinal data, model building in LTA has often been subjective and confusing for applied researchers. To fill this gap in the literature, we review the components of LTA, recommend a framework of fitting LTA, and summarize what acceptable model evaluation tools should be used in practice. The proposed framework of fitting LTA consists of six steps depicted in Figure 1 from step 0 (exploring data) to step 5 (fitting distal variables). We also illustrate the framework of fitting LTA with data on concerns about school bullying from a sample of 1,180 students ranging from 5th to 9th grade (mean age = 12.2 years, SD = 1.29 years at Time 1) over three semesters. We identified four groups of students with distinct patterns of bullying concerns, and found that their concerns about bullying decreased and narrowed to specific concerns about rumors, gossip, and social exclusion over time. The data and Command (Syntax) files needed for reproducing the results using SAS PROC LCA and PROC LTA (Version 1.3.2) (2015) and Mplus 7.4 (Muthén and Muthén, 1998–2015) are provided as online supplementary materials.

  • Data_Sheet_2_Longitudinal Model Building Using Latent Transition Analysis: An Example Using School Bullying Data.ZIP
    2018
    Co-Authors: Ji Hoon Ryoo, Cixin Wang, Susan M. Swearer, Michael Hull, Dingjing Shi
    Abstract:

    Applications of latent transition analysis (LTA) have emerged since the early 1990s, with numerous scientific findings being published in many areas, including social and behavioral sciences, education, and public health. Although LTA is effective as a statistical analytic tool for a person-centered model using longitudinal data, model building in LTA has often been subjective and confusing for applied researchers. To fill this gap in the literature, we review the components of LTA, recommend a framework of fitting LTA, and summarize what acceptable model evaluation tools should be used in practice. The proposed framework of fitting LTA consists of six steps depicted in Figure 1 from step 0 (exploring data) to step 5 (fitting distal variables). We also illustrate the framework of fitting LTA with data on concerns about school bullying from a sample of 1,180 students ranging from 5th to 9th grade (mean age = 12.2 years, SD = 1.29 years at Time 1) over three semesters. We identified four groups of students with distinct patterns of bullying concerns, and found that their concerns about bullying decreased and narrowed to specific concerns about rumors, gossip, and social exclusion over time. The data and Command (Syntax) files needed for reproducing the results using SAS PROC LCA and PROC LTA (Version 1.3.2) (2015) and Mplus 7.4 (Muthén and Muthén, 1998–2015) are provided as online supplementary materials.

  • Longitudinal Model Building Using Latent Transition Analysis: An Example Using School Bullying Data
    Frontiers Media S.A., 2018
    Co-Authors: Ji Hoon Ryoo, Cixin Wang, Susan M. Swearer, Michael Hull, Dingjing Shi
    Abstract:

    Applications of latent transition analysis (LTA) have emerged since the early 1990s, with numerous scientific findings being published in many areas, including social and behavioral sciences, education, and public health. Although LTA is effective as a statistical analytic tool for a person-centered model using longitudinal data, model building in LTA has often been subjective and confusing for applied researchers. To fill this gap in the literature, we review the components of LTA, recommend a framework of fitting LTA, and summarize what acceptable model evaluation tools should be used in practice. The proposed framework of fitting LTA consists of six steps depicted in Figure 1 from step 0 (exploring data) to step 5 (fitting distal variables). We also illustrate the framework of fitting LTA with data on concerns about school bullying from a sample of 1,180 students ranging from 5th to 9th grade (mean age = 12.2 years, SD = 1.29 years at Time 1) over three semesters. We identified four groups of students with distinct patterns of bullying concerns, and found that their concerns about bullying decreased and narrowed to specific concerns about rumors, gossip, and social exclusion over time. The data and Command (Syntax) files needed for reproducing the results using SAS PROC LCA and PROC LTA (Version 1.3.2) (2015) and Mplus 7.4 (Muthén and Muthén, 1998–2015) are provided as online supplementary materials