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Software reliability growth models (SRGMs) are used to assess and predict reliability of a software system. Many of these models are effective in predicting future failures unless the software evolves.

This objective of this paper is to identify the best path for rectifying the BFT (bug fixing time) and BFR (bug fixing rate). Moreover, the flexible software project has been examined while materializing the BFR. To enhance the BFR, the traceability of bug is lessened by the version tag virtue in every software deliverable component. The release time of software build is optimized with the utilization of mathematical optimization mechanisms like ‘software reliability growth’ and ‘non-homogeneous Poisson process methods.’

In current market scenario, this is most essential. The automation and variation of build is also resolved in this contribution. Here, the software, which is developed, is free from the bugs or defects and enhances the quality of software by increasing the BFR.

In current market scenario, this is most essential. The automation and variation of build is also resolved in this contribution. Here, the software, which is developed, is free from the bugs or defects and enhances the quality of software by increasing the BFR.

This article analyses the structural change in microenterprises located at India's unorganised manufacturing sector in terms of output mix, choice of technique and productivity during the last few decades.

Based on data collected from a quinquennial survey of unorganised firms, this study attempts productivity analysis by using the growth accounting technique.

The paper finds that there is a significant structural change which has occurred in the small firm sector in Indian manufacturing. The share of capital-intensive industries has increased substantially in recent years. Further, though small firms are more labour intensive, the labour productivity and total productivity of these firms are very low. The falling labour productivity and rising capital intensity indicates replacement of labour with capital in Indian small firm sector.

Low productivity of the sector is a cause for concern and this needs to be addressed by making the sector more competitive in the world market. To achieve this, policies should be designed so that small firms reach the efficient scale of production.

This is the first paper which examines structural changes in the Indian MSME sector. The findings have strong implications for creation of a viable ecosystem of entrepreneurship in the country.

The purpose of this study is to manufacture test boards for re-enacting plant or field situations where vacuum chamber for expelling gas bubbles and autoclave equipment would not be accessible. This research focuses on the examination and enhancement of tensile strength for the nanocomposites consisting of uniaxial glass fiber mats, nanoclay (NC) and epoxy.

The parameters considered are the weight content of Cloisite 15A NC, the volume of glass fiber (V_gf) and the direction of glass fibers (θ). The composites are made by hand lay-up technique and tested according to ASTM D 638 standard. Taguchi L9 orthogonal array is used to design the experiments.

The results imply that the orientation of fibers exhibited high significance with a p-value of 0.001 for the upgrade of strength. NC percentage and the volume of fiber have a low effect as the p-values obtained were 0.375 and 0.294. Confirmation tests were performed at the optimal levels of parameters and the outcomes were in the permissible range of the anticipated values of S/N ratio and mean tensile strength. The negligible effect of nanoclay is due to the lack of infusion of resin into the d-spacing of clay layers due to the low configuration settings of mixing conditions which was confirmed by XRD studies. The negligible effect of glass fiber volume is due to the void content and lack of stress transfer between fibers uniformly due to the void content and improper mixing of nanoclay.

The limitation of this study is that a low-speed mechanical stirrer was used to mix NC in the epoxy and the mixture was not subjected to vacuum and ultrasonication for degassing and deagglomeration.

These composites can be used as substitute materials in place of metallic parts in the aerospace and automobile sector. These composites can be used in civil structures instead of steel and concrete, which have low strength-to-weight ratio and where the requirement of strength is in the range of 60 to 390 MPa.

The composites can be used in a variety of applications, for example, structural works, automotive panels and low-cost housing.

This research gives an idea about the combined contribution of NC, V_gf and “θ” to the improvement of tensile strength of the glass-epoxy composite.

This paper aims to present a detailed investigation on the parameter estimation of a photovoltaic (PV) module by using a simplified two-diode model.

The studied PV module in this paper resembles an ideal two-diode model, and to reduce the computational time, the proposed model has a photocurrent source and two ideal-diodes and neglects the series and shunt resistances. Hence, for calculating the unknown parameters, only four parameters are required from the datasheet. Moreover, the studied model is simple and uses an easy modeling approach which is free from complexities.

The performance of the PV module is analyzed under non-standard test conditions by considering partial shading at different shaded levels, and it is found that the model has less computational time and gives accurate results.

The usefulness of this PV model is demonstrated with the help of several illustrative figures, and the performance of the PV module is evaluated.

The purpose of this paper is to conceptually explore building a culture of excellence from the ground up as well as evolving a current culture to one more focused on excellence.

This study reviewed extant research related to organizational cultures and cultures of excellence that have implications for building or evolving into these types of cultures.

The findings of this study suggest that the “people side” of organizations is crucial to forming a culture of excellence. Specific people-oriented considerations to forming such a culture include leveraging leaders and understanding other influences including diversity as well as external aspects. Changing culture must occur at the assumptions (and not just artifacts) level. Furthermore, there are many barriers to building a culture of excellence, many of which are also related to an organization’s people.

A qualitative grounded theory approach whereby researchers asked organizational members to define “culture of excellence” could help build a clearer model for the formation of cultures of excellence. Quantitative approaches should also test how successful the influencers, noted in this study are in creating cultures of excellence. This study’s conceptual links between cultures of excellence and performance should also be tested empirically.

This paper provides practitioners insight into the importance of culture and considerations for how to change an organizational culture.

This paper advocates for the importance of social considerations in the workplace regarding creating a culture of excellence.

To the best of the authors’ knowledge, this paper is the first that discusses creating a culture of excellence. Furthermore, it is one of only a handful of articles that links people to excellence.

There is growing interest from the global development community in the role of agricultural research and extension (AR & E) systems to achieve development targets. Despite this interest, many smallholders in developing countries continue to lack access to updated agricultural information and reliable services. In an effort to increase the effectiveness, impact, and reach of AR & E programs, many governments have attempted to reform their national systems. The paper aims to discuss these issues.

This paper systematically compares the systems and reforms of AR & E in China and India in order to draw out lessons applicable to developing countries. This paper first reviews the existing literature on AR & E systems and their role in agricultural and economic development. The authors then provide a detailed review and comparative analysis of the reforms and approaches implemented in the AR & E systems of China and India. The authors apply this comparative analysis to draw out lessons that can be applied to inform the reformation of AR & E systems in developing countries.

The authors find that although both countries face similar agricultural development challenges, each took a different approach in the reformation of AR & E to address these challenges. Each country’s approaches had different impacts on the effectiveness of the system. Lessons from the reformation of the AR & E systems in China and India can be used to inform and improve the impact of AR & E in developing countries.

The paper examines two systems together using a set of common indicators and factors. The paper’s value comes from its usefulness in informing future AR & E reforms in other developing countries in order to increase the impact of these reforms on development outcomes.

This paper aims to make an attempt to identify labour intensity of organized manufacturing industries in India using the Annual Survey of Industry (ASI) data at three-digit level. It estimates total factor productivity growth (TFPG) and technical efficiency for both labour intensive and all manufacturing industries during the pre- and post-reforms periods.

The study uses three approaches to estimate TFPG. They are growth accounting (GA) (non-parametric), production function with correction for endogeneity – Levinsohn-Petrin (LP) (semi-parametric) and stochastic production frontier (SPF) analysis (parametric). The study uses ASI data published by Central Statistical Organization, Government of India for the period 1980-1981 to 2007-2008 for the analysis.

The study finds that the rate of decline of the labour intensity is more pronounced in the case of labour-intensive industries than all the manufacturing industries. The results of GA method suggest that the TFPG of labour-intensive industries has declined continuously from the pre-reforms period to the post-reforms period. Similarly, LP method indicates a continuous decline in TFPG of labour-intensive manufacturing industries during the post-reforms period. Interestingly, the results of SPF method also corroborate the findings of earlier two methods at the aggregate level but vary at a certain degree at the disaggregated level.

This paper is useful in the context of India considering the importance given to labour-intensive industries by the present government in terms of reviving the sector and improving the productivity and output.

Disruptive behavioural disorders (DBD) of children are a major concern for teachers while engaging in the classroom. Correspondingly, primary school teachers should be well-equipped to manage child learners with DBD. This study explored what factors influence primary school teachers' access, utilisation and appraisal of vital health information for managing students with DBD.

The data used in the current paper was collected through in-depth interviews with teachers working in public lower primary schools in central Kerala, India. The refined data was then analysed thematically.

Four focal themes emerged from the input data: bridging social capital, classroom strategies, trained incapacity and role strain. The study found that the charismatic authority of teachers influences child learners with behavioural disorders only in the short term. Additionally, the study asserts that in-service teacher training programmes often overlook the behavioural and social components of health.

This study significantly advances our understanding of how the social embeddedness of health literacy among teachers influences their management of child learners with behaviour disorders. Specifically, it unravels the unique ways teachers utilise social networks to access health information (how), identifies the effective strategies they employ (what) and elucidates the underlying reasons for these strategies (why). The merit of this study lies in its comprehensive analysis of the interplay between social structures, social networks and health literacy, providing novel insights into practices followed by teachers in managing child learners with DBD.

Climate change-related weather events significantly affect rice production. In this paper, we investigate the impact of and interrelationships between agriculture inputs, climate change factors and financial variables on rice production in India from 1970–2021.

This study is based on the time series analysis; the unit root test has been employed to unveil the integration order. Further, the study used various econometric techniques, including vector autoregression estimates (VAR), cointegration test, autoregressive distributed lag (ARDL) model and diagnostic test for ARDL, fully modified least squares (FMOLS), canonical cointegrating regression (CCR), impulse response functions (IRF) and the variance decomposition method (VDM) to validate the long- and short-term impacts of climate change on rice production in India of the scrutinized variables.

The study's findings revealed that the rice area, precipitation and maximum temperature have a significant and positive impact on rice production in the short run. In the long run, rice area (ß = 1.162), pesticide consumption (ß = 0.089) and domestic credit to private sector (ß = 0.068) have a positive and significant impact on rice production. The results show that minimum temperature and direct institutional credit for agriculture have a significant but negative impact on rice production in the short run. Minimum temperature, pesticide consumption, domestic credit to the private sector and direct institutional credit for agriculture have a negative and significant impact on rice production in the long run.

The present study makes valuable and original contributions to the literature by examining the short- and long-term impacts of climate change on rice production in India over 1970–2021. To the best of the authors’ knowledge, The majority of the studies examined the impact of climate change on rice production with the consideration of only “mean temperature” as one of the climatic variables, while in the present study, the authors have considered both minimum as well as maximum temperature. Furthermore, the authors also considered the financial variables in the model.